Azure Data and AI Strategy Customer Engineer

JDA TSG; United States; On-site; USD 120,000 - 180,000; Full time

Job summary

JDA TSG seeks an Azure Data & AI Strategy Expert to guide enterprise customers through data estate modernization and AI enablement using Azure’s data tools. You will align Purview, Fabric, Databricks, and Azure AI Foundry to build secure, governed, and AI-ready data environments.

In this customer-facing role, you’ll lead workshops on AI readiness, shape data governance models, and advise on lakehouse strategies, real-time pipelines, and ML ops foundations to ensure scalable, responsible AI

Qualifications

• 10+ years of IT experience.
• 7+ years in data architecture, governance, or enterprise analytics strategy.
• Familiarity with Microsoft Fabric, Databricks, and the Azure data platform.

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.

Skills

IT experience

Data architecture

Executive presence

Business storytelling

Tools

Azure Purview

Microsoft Fabric

Databricks

Power BI

Azure Synapse

Job description

Azure Data & AI Strategy Expert

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 an 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+ years 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