Azure Data and AI Strategy Customer Engineer

Overview

At JDA TSG, we equip many of the world's major brands with top-tier specialized talent, business process expertise and technologies to drive their organizations in exciting new directions. What makes us the partner of choice for the most experience-obsessed brands worldwide? We apply extensive due diligence up front to ensure that our teams and talent will be a cultural fit and can make a difference from the very start. And we've established a reputation for bringing exceptional focus, flexibility, and confidence with every client we serve.

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.

Who You Are

Candidate Will Have:

• 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

What We Offer

• Healthcare - Comprehensive coverage for you and your family
• Employee Assistance Program - Get support when you or your family need it with counseling and coaching
• 401K with company match
• Paid time off
• Paid parental leave
• Volunteer Day Off
• Life insurance - Protect your loved ones and their future
• Business travel accident insurance

USD $110,000.00 - USD $120,000.00 /Yr.

We are an equal opportunity employer committed to building an inclusive workplace. To view our Equal Employment Opportunity (EEO) policy, please click here.

Qualifications

Candidate Will Have:

• 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

Responsibilities

• 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.