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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Microsoft Fabric SME - **Company:** Big O Tires, Llc. - **Location:** West Palm Beach, FL, United States (Remote available) - **Salary:** $150,000.0 - $175,000.0 - **Contract:** Franchise - **Skills:** Application Programming Interfaces (APIs), Data Architecture, Data Distribution Service, Relational Databases, PostgreSQL, Microsoft SQL Server, Operational Data Store, Oracle (Applications), Power BI, SAP (Applications), SAP CRM, Apache Spark, Change Data Capture, Data Layers, Microsoft Fabric, Pyspark, Data Analytics, Performance Monitor, Operational Systems, Data Management, Data Pipelines - **Published:** June 5, 2026 - **Apply:** https://www.gravityitresources.com/job/9270-microsoft-fabric-sme-west-palm-beach-florida/ ## About the Role * Deep, hands-on experience with Microsoft Fabric, including Lakehouses, Fabric Pipelines, Notebooks (Spark/PySpark), and semantic models with Power BI integration * Strong background in modern data architecture (lakehouse, medallion patterns) * Proven experience leading system-of-record data migrations * Experience with POS or transaction-heavy operational systems (retail, automotive, franchise, or similar) * Experience with API and relational database ingestion (Postgres preferred) * Experience designing data products for internal analytics and external data distribution (partners, vendors) * Ability to lead ambiguity and define next steps independently * Comfortable acting as architect, technical lead, and educator * Strong communication skills with engineering teams, analytics consumers, and business stakeholders ## Description Big O Tires is undertaking a foundational modernization of its Point of Sale (POS) data platform as part of the transition from Navex/DST to AutoLeap. At the same time, the organization is intentionally moving away from legacy on prem SQL Server-based data architectures (ICDB, DME/BOTCONDB) and establishing Microsoft Fabric as the primary analytics and data distribution platform. This initiative supports franchise sales and performance reporting, royalty-related sales calculation and reporting, customer and vehicle master data management, external integrations with SAP/CRM/credit card providers/third parties, and future migration of other operational data domains (inventory, warranty, orders, quantity on hand). Given the tight delivery timeline, breadth of downstream consumers, and early-stage Fabric maturity of the internal team, this role will lead the work end to end to ensure successful delivery with minimal rework and risk. Responsibilities: * Design end-to-end Fabric architecture, including ingestion from AutoLeap (Postgres / partner APIs), Bronze / Silver / Gold data layers, and lakehouse and semantic model strategy * Establish standards for change data capture and incremental loading, global identifiers (customer, vehicle, store), and data quality, auditing, and reconciliation * Oversee data pipelines (Fabric Pipelines / Notebooks), staging, transformations, and conformance * Drive consolidation of ICDB and DME use cases into a single lakehouse * Ensure outbound data feeds meet requirements for Power BI internal reporting, third-party partners (e.g., RRD), and internal consumers (Business Center, SAP, Oracle) * Lead structured requirements intake with stakeholders and translate business needs into canonical POS data models and Gold-layer data products * Validate mappings against AutoLeap source schemas * Define and execute data completeness checks, reconciliation against legacy ICDB/DME outputs, and performance and refresh SLAs * Develop formal test plans and acceptance criteria * Cross-train internal analysts, engineers, and analytics leaders by pairing on design/builds, explaining architectural decisions, and documenting patterns and standards * Leave behind repeatable frameworks, patterns, and standards, Our client is undertaking a foundational modernization of its Point of Sale (POS) data platform as part of the transition from Navex/DST to AutoLeap. At the same time, the organization is intentionally moving away from legacy on prem SQL Server-based data architectures (ICDB, DME/BOTCONDB) and establishing Microsoft Fabric as the primary analytics and data distribution platform. This initiative supports franchise sales and performance reporting, royalty-related sales calculation and reporting, customer and vehicle master data management, external integrations with SAP/CRM/credit card providers/third parties, and future migration of other operational data domains (inventory, warranty, orders, quantity on hand). Given the tight delivery timeline, breadth of downstream consumers, and early-stage Fabric maturity of the internal team, this role will lead the work end to end to ensure successful delivery with minimal rework and risk. Responsibilities: * Design end-to-end Fabric architecture, including ingestion from AutoLeap (Postgres / partner APIs), Bronze / Silver / Gold data layers, and lakehouse and semantic model strategy * Establish standards for change data capture and incremental loading, global identifiers (customer, vehicle, store), and data quality, auditing, and reconciliation * Oversee data pipelines (Fabric Pipelines / Notebooks), staging, transformations, and conformance * Drive consolidation of ICDB and DME use cases into a single lakehouse * Ensure outbound data feeds meet requirements for Power BI internal reporting, third-party partners (e.g., RRD), and internal consumers (Business Center, SAP, Oracle) * Lead structured requirements intake with stakeholders and translate business needs into canonical POS data models and Gold-layer data products * Validate mappings against AutoLeap source schemas * Define and execute data completeness checks, reconciliation against legacy ICDB/DME outputs, and performance and refresh SLAs * Develop formal test plans and acceptance criteria * Cross-train internal analysts, engineers, and analytics leaders by pairing on design/builds, explaining architectural decisions, and documenting patterns and standards * Leave behind repeatable frameworks, patterns, and standards ## Related Videos - [Data Analytics with Microsoft Fabric: End-to-End Use Case with Data Agents](https://www.wearedevelopers.com/videos/1547-data-analytics-with-microsoft-fabric-end-to-end-use-case-with-data-agents) - [PySpark - Combining Machine Learning & Big Data](https://www.wearedevelopers.com/videos/44-pyspark-combining-machine-learning-big-data) - [Headless by Design: Building Enterprise Systems That Agents Can Actually Use](https://www.wearedevelopers.com/videos/100092-headless-by-design-building-enterprise-systems-that-agents-can-actually-use) - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Empowering Retail Through Applied Machine Learning](https://www.wearedevelopers.com/videos/976-empowering-retail-through-applied-machine-learning) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) ## Related Articles - [Making Data Warehouses Fast: A Developer’s Story](https://www.wearedevelopers.com/magazine/107-making-data-warehouses-fast-a-developer-s-story) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers) - [Top Big Data Technologies That You Need to Know](https://www.wearedevelopers.com/magazine/108-top-big-data-technologies-that-you-need-to-know) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Dev Digest 120 - Apple and peers](https://www.wearedevelopers.com/magazine/455-dev-digest-120-apple-and-peers) - [MLops – Deploying, Maintaining And Evolving Machine Learning Models in Production](https://www.wearedevelopers.com/magazine/115-mlops-deploying-maintaining-and-evolving-machine-learning-models-in-production)