Allstate
Product Engineering (Fabric Data Engineering)
Key aspects of the role:
- Drive sales growth by engaging with interested prospective customers- all while working remote
- No cold calling— Connect through inbound calls and proactive outbound calls with active insurance shoppers
- Enjoy competitive compensation with a base salary + uncapped performance-based incentives
- Sell reputable products from Allstate and our family of brands
Role overview
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Who is Allstate:
Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life. Serving Canadians since 1953, Allstate strives to reassure both customers and employees with its “You’re in Good Hands®” promise and is proud to have been named a Best Employer in Canada for nine consecutive years. Allstate is committed to making a positive difference in the communities in which it operates through partnerships with charitable organizations, employee giving and volunteerism. To learn more, visit www.allstate.ca. For safety tips and advice, visit www.goodhandsadvice.ca.
Through our Employee Value Proposition, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have career options and truly enjoy the work they do.
Role Designation: Hybrid
Benefits to joining Allstate
- Flexible Work Arrangements.
- Employee discounts (15% on auto and property insurance, plus many other products and services).
- Good Office program (receive up to $400 back after purchasing office equipment).
- Student Loan Payment Matching Program for Government Student loans.
- Comprehensive Retirement Savings Program with employer matched contributions.
- Annual Wellness allowance to support employees with improving health and wellbeing.
- Personal days.
- Tuition Reimbursement.
- Working within the community and giving back.
Job description:
The Product Engineering (Fabric Data Engineering) role combines platform engineering, data engineering, dimensional modeling, Gold-layer delivery, and AI-augmented analytics enablement within Microsoft Fabric. This role is accountable for designing and operating the team’s Fabric workspace, OneLake/Lakehouse architecture, CI/CD release process, Bronze ingestion patterns, Silver/Gold transformation pipelines, Delta table performance strategy, security model, and observability framework. The role also owns the end-to-end data product lifecycle from raw ingestion through trusted dimensional models and Power BI semantic models, ensuring Auto and Property insurance data is accurate, reusable, performant, governed, and ready for business self-service, regulatory reporting, Copilot-assisted analytics, and downstream application/API consumption.
Accountabilities:
- Design /Code and own the Microsoft Fabric workspace, OneLake, Lakehouse, and Warehouse architecture, including Bronze-layer ingestion patterns for policy, claims, billing, and third-party vendor data feeds.
- Establish and enforce Fabric data build standards, governance practices, reusable engineering patterns, naming conventions, and code-review expectations across the delivery team.
- Build and maintain Azure DevOps CI/CD pipelines across development, test, and production environments, including approval gates, service principal management, deployment parameterization, and repeatable release processes.
- Design, build, and optimize Silver-layer cleansing, deduplication, conformance, and reconciliation logic to create trusted, audit-ready datasets for downstream analytics.
- Design and maintain Gold-layer dimensional models, star schemas, Slowly Changing Dimension Type 2 history tracking, incremental load patterns, and business-ready marts using Kimball and analytics-engineering principles.
- Implement automated data-quality controls, including row-count validation, measure reconciliation, SCD2 integrity checks, lineage validation, and exception reporting.
- Optimize Delta tables and Fabric workloads using techniques such as OPTIMIZE, Z-Order, V-Order, Liquid Clustering, VACUUM, Change Data Feed, and Spark resource tuning based on actual workload and Power BI query patterns.
- Own the Fabric and OneLake security model, including workspace roles, OneLake RBAC, row-level security, column-level security, object-level security, Microsoft Purview sensitivity labels, and DLP alignment.
- Design, build, and maintain Power BI Direct Lake semantic models, DAX measures, dataset access controls, and performance-tuned reporting layers directly on top of the Gold layer.
- Configure semantic models for AI and Copilot readiness, including AI data schemas, verified answers, clear table/column/measure descriptions, and business-friendly metadata.
- Use Copilot in Power BI and engineering productivity tools such as GitHub Copilot to accelerate modeling, report creation, documentation, and validation while ensuring all generated outputs meet enterprise quality standards.
- Establish operational monitoring and observability using Fabric Capacity Metrics, Monitoring Hub, workspace monitoring, Azure Monitor, and Log Analytics to proactively identify performance or reliability issues.
- Troubleshoot production pipeline, data-quality, semantic model, and report-performance issues; lead root-cause analysis and coordinate remediation with platform, analytics, business, and support teams.
- Expose Lakehouse, Warehouse, Gold-layer, or semantic-model data through Fabric API for GraphQL or REST where programmatic or application-level consumption is required.
- Maintain architecture documentation, runbooks, lineage definitions, business glossaries, onboarding materials, and self-service guidance for technical and non-technical stakeholders.
- Partner with business stakeholders across underwriting, claims, actuarial, finance, and regulatory reporting teams to translate data requirements into scalable Fabric data products and explain analytical outputs in business terms.
- Mentor engineers, review pull requests, support capacity planning, and promote shared engineering practices across data engineering, analytics engineering, and Power BI development activities.
Qualifications:
- Microsoft Fabric engineering, including Workspaces, OneLake, Lakehouse, Warehouse, Notebooks, Data Pipelines, Dataflows, and Direct Lake.
- Data engineering and transformation development using SQL, PySpark, Python, Spark, Delta Lake, and modern ELT patterns.
- Bronze, Silver, and Gold Lakehouse architecture, including ingestion, cleansing, conformance, reconciliation, and business-ready data mart design.
- Dimensional modeling expertise, including Kimball methodology, star schemas, fact/dimension design, grain definition, Slowly Changing Dimensions Type 2, and incremental load patterns.
- Delta table performance optimization using OPTIMIZE, Z-Order, V-Order, Liquid Clustering, VACUUM, Change Data Feed, partitioning strategy, and Spark workload tuning.
- Azure DevOps and CI/CD skills, including Git-based development, pull requests, approval gates, environment promotion, deployment automation, and release governance.
- Power BI semantic model development, including Direct Lake models, relationships, DAX measures, calculation logic, dataset security, and report performance optimization.
- AI and Copilot readiness for analytics, including semantic model descriptions, verified answers, AI data schemas, business-friendly metadata, and validation of AI-generated outputs.
- Data governance and security, including OneLake RBAC, workspace roles, row-level security, column-level security, object-level security, Microsoft Purview sensitivity labels, lineage, and DLP alignment.
- Data quality engineering, including automated validation, reconciliation checks, exception handling, lineage validation, auditability, and regulatory reporting support.
- Monitoring and operational support using Fabric Capacity Metrics, Monitoring Hub, workspace monitoring, Azure Monitor, Log Analytics, incident triage, and root-cause analysis.
- Insurance domain understanding, especially Auto and Property policy, claims, billing, actuarial, underwriting, regulatory reporting, loss ratio, and combined ratio concepts.
- API and integration awareness, including Fabric API for GraphQL, REST-based consumption patterns, and governed downstream application access.
- Documentation and communication skills, including architecture documentation, runbooks, business glossaries, data lineage, onboarding materials, and stakeholder-ready explanations.
- Technical leadership skills, including mentoring engineers, reviewing code, defining reusable patterns, enforcing standards, supporting capacity planning, and collaborating across platform, analytics, and business teams.
Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs.
#LI-GL1
Skills
Azure Devops, CI/CD, Data Engineering, Data Governance, Data Lakehouse Architecture, Data Quality, Data Security, Data Transformation, Python (Programming Language), Semantic Modeling
Compensation
Expected compensation for this role ranges from $ 80,900 – 120,000 annually. Actual salary offered to successful candidates will vary based on their skills and experience.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate Canada Group uses AI technology tools to assist in screening, selecting, assessing, and scheduling interviews with candidates as part of the recruitment process.
This job posting is for a current open role within the organization.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working in Sales
What We Do:
As an expert on our products and services, you can give customers personalized attention and innovative solutions to make their lives easier.
How We Support You:
Starting day one, you’ll have access to resources and incentives to keep you feeling challenged and excited about your careers.
Make An Impact:
As a member of our sales team, you’ll bring a sense of ease and support to customers looking for a better understanding of their protection options. Whether in the field or talking to customers over the phone, you’ll continue to build trust in who we are and what we do.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Role overview
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Who is Allstate:
Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life. Serving Canadians since 1953, Allstate strives to reassure both customers and employees with its “You’re in Good Hands®” promise and is proud to have been named a Best Employer in Canada for nine consecutive years. Allstate is committed to making a positive difference in the communities in which it operates through partnerships with charitable organizations, employee giving and volunteerism. To learn more, visit www.allstate.ca. For safety tips and advice, visit www.goodhandsadvice.ca.
Through our Employee Value Proposition, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have career options and truly enjoy the work they do.
Role Designation: Hybrid
Benefits to joining Allstate
- Flexible Work Arrangements.
- Employee discounts (15% on auto and property insurance, plus many other products and services).
- Good Office program (receive up to $400 back after purchasing office equipment).
- Student Loan Payment Matching Program for Government Student loans.
- Comprehensive Retirement Savings Program with employer matched contributions.
- Annual Wellness allowance to support employees with improving health and wellbeing.
- Personal days.
- Tuition Reimbursement.
- Working within the community and giving back.
Job description:
The Product Engineering (Fabric Data Engineering) role combines platform engineering, data engineering, dimensional modeling, Gold-layer delivery, and AI-augmented analytics enablement within Microsoft Fabric. This role is accountable for designing and operating the team’s Fabric workspace, OneLake/Lakehouse architecture, CI/CD release process, Bronze ingestion patterns, Silver/Gold transformation pipelines, Delta table performance strategy, security model, and observability framework. The role also owns the end-to-end data product lifecycle from raw ingestion through trusted dimensional models and Power BI semantic models, ensuring Auto and Property insurance data is accurate, reusable, performant, governed, and ready for business self-service, regulatory reporting, Copilot-assisted analytics, and downstream application/API consumption.
Accountabilities:
- Design /Code and own the Microsoft Fabric workspace, OneLake, Lakehouse, and Warehouse architecture, including Bronze-layer ingestion patterns for policy, claims, billing, and third-party vendor data feeds.
- Establish and enforce Fabric data build standards, governance practices, reusable engineering patterns, naming conventions, and code-review expectations across the delivery team.
- Build and maintain Azure DevOps CI/CD pipelines across development, test, and production environments, including approval gates, service principal management, deployment parameterization, and repeatable release processes.
- Design, build, and optimize Silver-layer cleansing, deduplication, conformance, and reconciliation logic to create trusted, audit-ready datasets for downstream analytics.
- Design and maintain Gold-layer dimensional models, star schemas, Slowly Changing Dimension Type 2 history tracking, incremental load patterns, and business-ready marts using Kimball and analytics-engineering principles.
- Implement automated data-quality controls, including row-count validation, measure reconciliation, SCD2 integrity checks, lineage validation, and exception reporting.
- Optimize Delta tables and Fabric workloads using techniques such as OPTIMIZE, Z-Order, V-Order, Liquid Clustering, VACUUM, Change Data Feed, and Spark resource tuning based on actual workload and Power BI query patterns.
- Own the Fabric and OneLake security model, including workspace roles, OneLake RBAC, row-level security, column-level security, object-level security, Microsoft Purview sensitivity labels, and DLP alignment.
- Design, build, and maintain Power BI Direct Lake semantic models, DAX measures, dataset access controls, and performance-tuned reporting layers directly on top of the Gold layer.
- Configure semantic models for AI and Copilot readiness, including AI data schemas, verified answers, clear table/column/measure descriptions, and business-friendly metadata.
- Use Copilot in Power BI and engineering productivity tools such as GitHub Copilot to accelerate modeling, report creation, documentation, and validation while ensuring all generated outputs meet enterprise quality standards.
- Establish operational monitoring and observability using Fabric Capacity Metrics, Monitoring Hub, workspace monitoring, Azure Monitor, and Log Analytics to proactively identify performance or reliability issues.
- Troubleshoot production pipeline, data-quality, semantic model, and report-performance issues; lead root-cause analysis and coordinate remediation with platform, analytics, business, and support teams.
- Expose Lakehouse, Warehouse, Gold-layer, or semantic-model data through Fabric API for GraphQL or REST where programmatic or application-level consumption is required.
- Maintain architecture documentation, runbooks, lineage definitions, business glossaries, onboarding materials, and self-service guidance for technical and non-technical stakeholders.
- Partner with business stakeholders across underwriting, claims, actuarial, finance, and regulatory reporting teams to translate data requirements into scalable Fabric data products and explain analytical outputs in business terms.
- Mentor engineers, review pull requests, support capacity planning, and promote shared engineering practices across data engineering, analytics engineering, and Power BI development activities.
Qualifications:
- Microsoft Fabric engineering, including Workspaces, OneLake, Lakehouse, Warehouse, Notebooks, Data Pipelines, Dataflows, and Direct Lake.
- Data engineering and transformation development using SQL, PySpark, Python, Spark, Delta Lake, and modern ELT patterns.
- Bronze, Silver, and Gold Lakehouse architecture, including ingestion, cleansing, conformance, reconciliation, and business-ready data mart design.
- Dimensional modeling expertise, including Kimball methodology, star schemas, fact/dimension design, grain definition, Slowly Changing Dimensions Type 2, and incremental load patterns.
- Delta table performance optimization using OPTIMIZE, Z-Order, V-Order, Liquid Clustering, VACUUM, Change Data Feed, partitioning strategy, and Spark workload tuning.
- Azure DevOps and CI/CD skills, including Git-based development, pull requests, approval gates, environment promotion, deployment automation, and release governance.
- Power BI semantic model development, including Direct Lake models, relationships, DAX measures, calculation logic, dataset security, and report performance optimization.
- AI and Copilot readiness for analytics, including semantic model descriptions, verified answers, AI data schemas, business-friendly metadata, and validation of AI-generated outputs.
- Data governance and security, including OneLake RBAC, workspace roles, row-level security, column-level security, object-level security, Microsoft Purview sensitivity labels, lineage, and DLP alignment.
- Data quality engineering, including automated validation, reconciliation checks, exception handling, lineage validation, auditability, and regulatory reporting support.
- Monitoring and operational support using Fabric Capacity Metrics, Monitoring Hub, workspace monitoring, Azure Monitor, Log Analytics, incident triage, and root-cause analysis.
- Insurance domain understanding, especially Auto and Property policy, claims, billing, actuarial, underwriting, regulatory reporting, loss ratio, and combined ratio concepts.
- API and integration awareness, including Fabric API for GraphQL, REST-based consumption patterns, and governed downstream application access.
- Documentation and communication skills, including architecture documentation, runbooks, business glossaries, data lineage, onboarding materials, and stakeholder-ready explanations.
- Technical leadership skills, including mentoring engineers, reviewing code, defining reusable patterns, enforcing standards, supporting capacity planning, and collaborating across platform, analytics, and business teams.
Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs.
#LI-GL1
Skills
Azure Devops, CI/CD, Data Engineering, Data Governance, Data Lakehouse Architecture, Data Quality, Data Security, Data Transformation, Python (Programming Language), Semantic Modeling
Compensation
Expected compensation for this role ranges from $ 80,900 – 120,000 annually. Actual salary offered to successful candidates will vary based on their skills and experience.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate Canada Group uses AI technology tools to assist in screening, selecting, assessing, and scheduling interviews with candidates as part of the recruitment process.
This job posting is for a current open role within the organization.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working in Claims
What We Do:
Your ability to quickly and calmly make smart decisions can make a huge difference in how confident customers feel throughout the claims process. And as you support our customers, we’re there to support you.
How We Support You:
We empower your success starting day one. You’ll have access to everything you need to grow professionally while helping our customers get their lives back on track.
Make An Impact:
Helping customers with their claims is about learning their stories, not just processing their paperwork. You can take pride in the fact that you’re providing invaluable guidance and helping to build continued trust in our company.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Role overview
At Allstate, great things happen when our people work together to protect families and their belongings from life’s uncertainties. And for more than 90 years, our innovative drive has kept us a step ahead of our customers’ evolving needs. From advocating for seat belts, air bags and graduated driving laws, to being an industry leader in pricing sophistication, telematics, and, more recently, device and identity protection.
Job Description
Who is Allstate:
Allstate Insurance Company of Canada is a leading home and auto insurer focused on providing its customers prevention and protection products and services for every stage of life. Serving Canadians since 1953, Allstate strives to reassure both customers and employees with its “You’re in Good Hands®” promise and is proud to have been named a Best Employer in Canada for nine consecutive years. Allstate is committed to making a positive difference in the communities in which it operates through partnerships with charitable organizations, employee giving and volunteerism. To learn more, visit www.allstate.ca. For safety tips and advice, visit www.goodhandsadvice.ca.
Through our Employee Value Proposition, we have worked hard to develop and nurture a culture where employees feel valued, experience personal growth, have career options and truly enjoy the work they do.
Role Designation: Hybrid
Benefits to joining Allstate
- Flexible Work Arrangements.
- Employee discounts (15% on auto and property insurance, plus many other products and services).
- Good Office program (receive up to $400 back after purchasing office equipment).
- Student Loan Payment Matching Program for Government Student loans.
- Comprehensive Retirement Savings Program with employer matched contributions.
- Annual Wellness allowance to support employees with improving health and wellbeing.
- Personal days.
- Tuition Reimbursement.
- Working within the community and giving back.
Job description:
The Product Engineering (Fabric Data Engineering) role combines platform engineering, data engineering, dimensional modeling, Gold-layer delivery, and AI-augmented analytics enablement within Microsoft Fabric. This role is accountable for designing and operating the team’s Fabric workspace, OneLake/Lakehouse architecture, CI/CD release process, Bronze ingestion patterns, Silver/Gold transformation pipelines, Delta table performance strategy, security model, and observability framework. The role also owns the end-to-end data product lifecycle from raw ingestion through trusted dimensional models and Power BI semantic models, ensuring Auto and Property insurance data is accurate, reusable, performant, governed, and ready for business self-service, regulatory reporting, Copilot-assisted analytics, and downstream application/API consumption.
Accountabilities:
- Design /Code and own the Microsoft Fabric workspace, OneLake, Lakehouse, and Warehouse architecture, including Bronze-layer ingestion patterns for policy, claims, billing, and third-party vendor data feeds.
- Establish and enforce Fabric data build standards, governance practices, reusable engineering patterns, naming conventions, and code-review expectations across the delivery team.
- Build and maintain Azure DevOps CI/CD pipelines across development, test, and production environments, including approval gates, service principal management, deployment parameterization, and repeatable release processes.
- Design, build, and optimize Silver-layer cleansing, deduplication, conformance, and reconciliation logic to create trusted, audit-ready datasets for downstream analytics.
- Design and maintain Gold-layer dimensional models, star schemas, Slowly Changing Dimension Type 2 history tracking, incremental load patterns, and business-ready marts using Kimball and analytics-engineering principles.
- Implement automated data-quality controls, including row-count validation, measure reconciliation, SCD2 integrity checks, lineage validation, and exception reporting.
- Optimize Delta tables and Fabric workloads using techniques such as OPTIMIZE, Z-Order, V-Order, Liquid Clustering, VACUUM, Change Data Feed, and Spark resource tuning based on actual workload and Power BI query patterns.
- Own the Fabric and OneLake security model, including workspace roles, OneLake RBAC, row-level security, column-level security, object-level security, Microsoft Purview sensitivity labels, and DLP alignment.
- Design, build, and maintain Power BI Direct Lake semantic models, DAX measures, dataset access controls, and performance-tuned reporting layers directly on top of the Gold layer.
- Configure semantic models for AI and Copilot readiness, including AI data schemas, verified answers, clear table/column/measure descriptions, and business-friendly metadata.
- Use Copilot in Power BI and engineering productivity tools such as GitHub Copilot to accelerate modeling, report creation, documentation, and validation while ensuring all generated outputs meet enterprise quality standards.
- Establish operational monitoring and observability using Fabric Capacity Metrics, Monitoring Hub, workspace monitoring, Azure Monitor, and Log Analytics to proactively identify performance or reliability issues.
- Troubleshoot production pipeline, data-quality, semantic model, and report-performance issues; lead root-cause analysis and coordinate remediation with platform, analytics, business, and support teams.
- Expose Lakehouse, Warehouse, Gold-layer, or semantic-model data through Fabric API for GraphQL or REST where programmatic or application-level consumption is required.
- Maintain architecture documentation, runbooks, lineage definitions, business glossaries, onboarding materials, and self-service guidance for technical and non-technical stakeholders.
- Partner with business stakeholders across underwriting, claims, actuarial, finance, and regulatory reporting teams to translate data requirements into scalable Fabric data products and explain analytical outputs in business terms.
- Mentor engineers, review pull requests, support capacity planning, and promote shared engineering practices across data engineering, analytics engineering, and Power BI development activities.
Qualifications:
- Microsoft Fabric engineering, including Workspaces, OneLake, Lakehouse, Warehouse, Notebooks, Data Pipelines, Dataflows, and Direct Lake.
- Data engineering and transformation development using SQL, PySpark, Python, Spark, Delta Lake, and modern ELT patterns.
- Bronze, Silver, and Gold Lakehouse architecture, including ingestion, cleansing, conformance, reconciliation, and business-ready data mart design.
- Dimensional modeling expertise, including Kimball methodology, star schemas, fact/dimension design, grain definition, Slowly Changing Dimensions Type 2, and incremental load patterns.
- Delta table performance optimization using OPTIMIZE, Z-Order, V-Order, Liquid Clustering, VACUUM, Change Data Feed, partitioning strategy, and Spark workload tuning.
- Azure DevOps and CI/CD skills, including Git-based development, pull requests, approval gates, environment promotion, deployment automation, and release governance.
- Power BI semantic model development, including Direct Lake models, relationships, DAX measures, calculation logic, dataset security, and report performance optimization.
- AI and Copilot readiness for analytics, including semantic model descriptions, verified answers, AI data schemas, business-friendly metadata, and validation of AI-generated outputs.
- Data governance and security, including OneLake RBAC, workspace roles, row-level security, column-level security, object-level security, Microsoft Purview sensitivity labels, lineage, and DLP alignment.
- Data quality engineering, including automated validation, reconciliation checks, exception handling, lineage validation, auditability, and regulatory reporting support.
- Monitoring and operational support using Fabric Capacity Metrics, Monitoring Hub, workspace monitoring, Azure Monitor, Log Analytics, incident triage, and root-cause analysis.
- Insurance domain understanding, especially Auto and Property policy, claims, billing, actuarial, underwriting, regulatory reporting, loss ratio, and combined ratio concepts.
- API and integration awareness, including Fabric API for GraphQL, REST-based consumption patterns, and governed downstream application access.
- Documentation and communication skills, including architecture documentation, runbooks, business glossaries, data lineage, onboarding materials, and stakeholder-ready explanations.
- Technical leadership skills, including mentoring engineers, reviewing code, defining reusable patterns, enforcing standards, supporting capacity planning, and collaborating across platform, analytics, and business teams.
Allstate Canada Group has policies and practices that provide workplace accommodations. If you require accommodation, please let us know and we will work with you to meet your needs.
#LI-GL1
Skills
Azure Devops, CI/CD, Data Engineering, Data Governance, Data Lakehouse Architecture, Data Quality, Data Security, Data Transformation, Python (Programming Language), Semantic Modeling
Compensation
Expected compensation for this role ranges from $ 80,900 – 120,000 annually. Actual salary offered to successful candidates will vary based on their skills and experience.
Joining our team isn’t just a job — it’s an opportunity. One that takes your skills and pushes them to the next level. One that encourages you to challenge the status quo. One where you can shape the future of protection while supporting causes that mean the most to you. Joining our team means being part of something bigger – a winning team making a meaningful impact.
Allstate Canada Group uses AI technology tools to assist in screening, selecting, assessing, and scheduling interviews with candidates as part of the recruitment process.
This job posting is for a current open role within the organization.
Keys to Success
At Allstate, it’s all about teamwork, flexibility, and thinking ahead. We all contribute to the bigger picture, combining unique ideas to design innovative, more affordable protection solutions for customers.
We look for candidates with these skills to help us achieve that goal:
Learning agility
Quickly adapt to new situations, continually build new skills, experiment, and embrace new ways of doing things
Customer centricity
Deliver exceptional experience with a customer-first mindset and human-centered design
Digital literacy
Discover and apply emerging digital technology tools, data and insights.
Results-oriented
Start with measurable outcomes and drive results with speed
Inclusive leadership
Integrate diverse viewpoints into decision-making processes to enhance creativity and innovation
Together, we’re all working toward Our Shared Purpose, using our strengths to make a real difference for our people, our customers, our company, and the world around us.
Working together
You’re in Good Hands® is more than a promise we make to our customers. It’s a promise we make to our employees, too.
We want you to love where you work. That starts with the freedom to be yourself. Our workplace flexibility and focus on individuality means everyone is seen, heard and respected.
When you join us, you’ll have the opportunity to push your skills to the next level with access to development programs to support your career aspirations – whatever that means for you. Because as you learn and grow, so do we.
Working here also means getting the chance to make a real impact in your community. We have been driving change for over 90 years, but the mark we leave on the world can be even greater when we work together.
Benefits
Experience the benefits that make Allstate a great place to work.
*Benefits vary based on position.
Health
- Medical, dental and vision coverage
- HSAs and FSAs
- Wellbeing programs
- Free therapy sessions
Retirement
- 401(k) plan
- Pension plan
- Free financial counseling
Work-life balance
- Paid time off
- Work flexibility
Career development
- Talent shares
- Tuition reimbursement
- Learning opportunities
For a full description of Allstate’s benefits visit our benefits page
Start making a difference
Realize your full potential by doing
work that matters.
Grow your career in meaningful ways.
We want to make sure you have every opportunity to grow, explore new horizons and follow your passion in a meaningful career. It’s an exciting time to join Allstate. Help us shape the future.
Ryan / 8 years with Allstate
Business Architect Lead Consultant
June 2025 – Present
Anthony / 11 years with Allstate
New Agent Leader- EA Channel
February 2026 – Present
Michael / 25 years with Allstate
Property Delivery Director
2023 – Present/Remote
Bree / 11 years with Allstate
Unrepresented Bodily Injury Adjuster
December 2022 – Present
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