ppAt 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. /ph3Job Description /h3h3Who is Allstate: /h3pAllstate 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 For safety tips and advice, visit /ppThrough 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. /ph3Role Designation: /h3pHybrid /ph3Benefits to joining Allstate /h3ullipFlexible Work Arrangements. /p /lilipEmployee discounts (15% on auto and property insurance, plus many other products and services). /p /lilipGood Office program (receive up to $400 back after purchasing office equipment). /p /lilipStudent Loan Payment Matching Program for Government Student loans. /p /lilipComprehensive Retirement Savings Program with employer matched contributions. /p /lilipAnnual Wellness allowance to support employees with improving health and wellbeing. /p /lilipPersonal days. /p /lilipTuition Reimbursement. /p /lilipWorking within the community and giving back. /p /li /ulh3Job description: /h3pThe 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. /ph3Accountabilities: /h3ulliDesign /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. /liliEstablish and enforce Fabric data build standards, governance practices, reusable engineering patterns, naming conventions, and code-review expectations across the delivery team. /liliBuild 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. /liliDesign, build, and optimize Silver-layer cleansing,



deduplication, conformance, and reconciliation logic to create trusted, audit-ready datasets for downstream analytics. /liliDesign 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. /liliImplement automated data-quality controls, including row-count validation, measure reconciliation, SCD2 integrity checks, lineage validation, and exception reporting. /liliOptimize 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. /liliOwn 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. /liliDesign, 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. /liliConfigure semantic models for AI and Copilot readiness, including AI data schemas, verified answers, clear table/column/measure descriptions, and business-friendly metadata. /liliUse 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. /liliEstablish operational monitoring and observability using Fabric Capacity Metrics, Monitoring Hub, workspace monitoring, Azure Monitor, and Log Analytics to proactively identify performance or reliability issues. /liliTroubleshoot production pipeline, data-quality, semantic model, and report-performance issues; lead root-cause analysis and coordinate remediation with platform, analytics, business, and support teams. /liliExpose Lakehouse, Warehouse, Gold-layer, or semantic-model data through Fabric API for GraphQL or REST where programmatic or application-level consumption is required. /liliMaintain architecture documentation, runbooks, lineage definitions, business glossaries, onboarding materials, and self-service guidance for technical and non-technical stakeholders. /liliPartner 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. /liliMentor engineers, review pull requests, support capacity planning, and promote shared engineering practices across data engineering, analytics engineering, and Power BI development activities. /li /ulh3Qualifications: /h3ulliMicrosoft Fabric engineering, including Workspaces, OneLake, Lakehouse, Warehouse, Notebooks, Data Pipelines, Dataflows, and Direct Lake. /liliData engineering and transformation development using SQL, PySpark, Python, Spark, Delta Lake, and modern ELT patterns. /liliBronze, Silver, and Gold Lakehouse architecture, including ingestion, cleansing,



conformance, reconciliation, and business-ready data mart design. /liliDimensional modeling expertise, including Kimball methodology, star schemas, fact/dimension design, grain definition, Slowly Changing Dimensions Type 2, and incremental load patterns. /liliDelta table performance optimization using OPTIMIZE, Z-Order, V-Order, Liquid Clustering, VACUUM, Change Data Feed, partitioning strategy, and Spark workload tuning. /liliAzure DevOps and CI/CD skills, including Git-based development, pull requests, approval gates, environment promotion, deployment automation, and release governance. /liliPower BI semantic model development, including Direct Lake models, relationships, DAX measures, calculation logic, dataset security, and report performance optimization. /liliAI and Copilot readiness for analytics, including semantic model descriptions, verified answers, AI data schemas, business-friendly metadata, and validation of AI-generated outputs. /liliData governance and security, including OneLake RBAC, workspace roles, row-level security, column-level security, object‑security, Microsoft Purview sensitivity labels, lineage, and DLP alignment. /liliData quality engineering, including automated validation, reconciliation checks, exception handling, lineage validation, auditability, and regulatory reporting support. /liliMonitoring and operational support using Fabric Capacity Metrics, Monitoring Hub, workspace monitoring, Azure Monitor, Log Analytics, incident triage, and root-cause analysis. /liliInsurance domain understanding, especially Auto and Property policy, claims, billing, actuarial, underwriting, regulatory reporting, loss ratio, and combined ratio concepts. /liliAPI and integration awareness, including Fabric API for GraphQL, REST-based consumption patterns, and governed downstream application access. /liliDocumentation and communication skills, including architecture documentation, runbooks, business glossaries, data lineage, onboarding materials, and stakeholder‑ready explanations. /liliTechnical leadership skills, including mentoring engineers, reviewing code, defining reusable patterns, enforcing standards, supporting capacity planning, and collaborating across platform, analytics, and business teams. /li /ulpAllstate 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. /pp#LI-GL1 /ph3Skills /h3pAzure Devops, CI/CD, Data Engineering, Data Governance, Data Lakehouse Architecture, Data Quality, Data Security, Data Transformation, Python (Programming Language), Semantic Modeling /ph3Compensation /h3pExpected 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. /ppbJoining 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. /b /ppAllstate Canada Group uses AI technology tools to assist in screening, selecting, assessing, and scheduling interviews with candidates as part of the recruitment process. /ppThis job posting is for a current open role within the organization. /p /p #J-18808-Ljbffr

📌 Product Engineering (Fabric Data Engineering) (Bagnacavallo)
🏢 Allstate
📍 Bagnacavallo