Azure Data and AI Strategy Customer Engineer

Overview

AtJDA 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.

• 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.

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.

• Data Governance: Azure Purview (catalog, lineage, quality scans, domains)
• Data Platforms: Microsoft Fabric (One Lake, 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, Fin Ops‑aware design

• 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 $ - USD $ /Yr.

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