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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Azure Data and AI Strategy Customer Engineer - **Company:** JDA TSG - **Location:** United States (Remote available) - **Experience:** Expert - **Salary:** $110,000.0 - $120,000.0 - **Contract:** Permanent contract - **Skills:** Artificial Intelligence, Audit Trail, Microsoft Azure, Data Architecture, Data Governance, Data Infrastructure, Data Transformation, Information Lifecycle Management, Microsoft Data Access Components, Meta-Data Management, Power BI, Systems Integration, Azure Data Factory, Apache Spark, Microsoft Fabric, Data Lakes, Information Technology, Data Lineage, Collibra, Deployment Automation, Data Management, Machine Learning Operations, Cloud Migration, Azure Synapse Analytics, Databricks - **Published:** June 3, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=9fa565be9359bda2 ## About the Role Do you have experience in Databricks?, * 10+ years of IT experience * 7+ year of experience in data architecture, governance, or enterprise analytics strategy. * Familiarity with Microsoft Fabric, Databricks, and the Azure data platform. * Experience advising on data modernization projects, particularly in AI-adopting enterprises. * Solid understanding of data governance principles, business metadata, and operational AI enablement. * Executive presence with ability to translate complex data infrastructure into business value narratives. Key Skills & Technologies: * Data Governance: Azure Purview (catalog, lineage, quality scans, domains) * Data Platforms: Microsoft Fabric (OneLake, Data Factory, Data Activator, Real-Time Hub), Databricks, Azure Synapse * AI Enablement: Azure AI Foundry, model lifecycle readiness, AI observability * Architecture: Lakehouse, Delta Lake, Spark, Power BI integration * Security & Compliance: Data protection strategy, labeling, role-based access, audit trails * Strategy: Cloud Adoption Framework, Responsible AI principles, FinOps-aware design ## Description We're seeking a Azure Data & AI Strategy Expert who can guide enterprise customers through modern data estate modernization and AI enablement using Microsoft's Azure data platform. This role focuses on aligning Purview (Data), Microsoft Fabric, Databricks, and Azure AI Foundry to build secure, governed, and AI-ready data environments. In this customer-facing role, you'll help organizations unlock business value by advising on data lineage, governance best practices, real-time analytics, and scalable AI infrastructure - all while ensuring trust, performance, and compliance. What You Will Do: * Guide enterprise customers in designing governed data foundations using Azure Purview, Microsoft Fabric, and Databricks. * Lead workshops and strategy sessions around data readiness for AI, including architecture reviews, risk assessments, and value roadmaps. * Help define and align data governance models, including metadata management, lineage, domains, and quality controls. * Support customer adoption of Microsoft Fabric by advising on lakehouse strategies, real-time pipelines, and integration with Power BI and Copilot. * Provide advisory on integrating Databricks with the broader Microsoft data stack and establishing enterprise-scale ML ops foundations. * Support the implementation of AI Foundry scenarios, ensuring data quality, governance, and cost optimization across AI solutions. * Advocate for secure and responsible AI deployment strategies across the data lifecycle. ## Related Videos - [Beyond Dashboards: Fixing Text-to-SQL with Semantic RAG](https://www.wearedevelopers.com/videos/2036-beyond-dashboards-fixing-text-to-sql-with-semantic-rag) - [Cutting LLM Costs Without Cutting Quality: How to Beat Proprietary LLMs with Fine-Tuned Open Source](https://www.wearedevelopers.com/videos/100151-cutting-llm-costs-without-cutting-quality-how-to-beat-proprietary-llms-with-fine-tuned-open-source) - [Inside the AI Revolution: How Microsoft is Empowering the World to Achieve More](https://www.wearedevelopers.com/videos/869-inside-the-ai-revolution-how-microsoft-is-empowering-the-world-to-achieve-more) - [Enabling intelligent logistics automation: home-grown Industrial IoT platform at Austrian Post](https://www.wearedevelopers.com/videos/2018-enabling-intelligent-logistics-automation-home-grown-industrial-iot-platform-at-austrian-post) - [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) - [OLTP in the Lakehouse: Redefining Data for AI Workloads](https://www.wearedevelopers.com/videos/2038-oltp-in-the-lakehouse-redefining-data-for-ai-workloads) ## Related Articles - [Coffee with Developers - Maria Apazoglou - Making AI understandable for all in production](https://www.wearedevelopers.com/magazine/475-coffee-with-developers-maria-apazoglou-making-ai-understandable-for-all-in-production) - [Navigating the AI Shift](https://www.wearedevelopers.com/magazine/629-navigating-the-ai-shift) - [What Are The Top Skills Required For Azure Developers?](https://www.wearedevelopers.com/magazine/77-what-are-the-top-skills-required-for-azure-developers) - [Graph and AI Trends 2026: Why Is AI Running but Not Yet Delivering?](https://www.wearedevelopers.com/magazine/680-graph-and-ai-trends-2026-why-is-ai-running-but-not-yet-delivering) - [Stephan Gillich - Bringing AI Everywhere](https://www.wearedevelopers.com/magazine/489-stephan-gillich-bringing-ai-everywhere) - [How to Become an AI Engineer](https://www.wearedevelopers.com/magazine/331-how-to-become-an-ai-engineer)