What does a Forward Deployed Engineer do at JDA TSG?

Forward Deployed Engineers at JDA TSG are embedded directly with enterprise customers to implement and customize the platform, build integrations, and solve technical problems in real-world client environments. They combine software engineering skills with direct customer interaction, writing production code while also serving as the primary technical point of contact.

What skills are required for this Azure Data and AI Strategy Customer Engineer role?

The Azure Data and AI Strategy Customer Engineer role at JDA TSG typically requires strong software engineering skills (Python, TypeScript, SQL), experience with APIs and system integration, comfort with cloud platforms, and the ability to communicate complex technical topics to non-technical stakeholders. Most FDE roles require 3-7 years of engineering experience.

Is this Forward Deployed Engineer position at JDA TSG remote?

Remote availability varies by JDA TSG FDE role. Some positions are fully remote, others require travel to customer sites, and some are hybrid. Check the full job description above for the specific location requirements for this posting.

JDA TSG

Azure Data and AI Strategy Customer Engineer

$110K - $120K Remote Mid Posted May 31, 2026

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Role Description

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

Posted Salary Range: USD $110,000.00 - USD $120,000.00 /Yr.

About Forward Deployed Engineering

Forward Deployed Engineers are embedded directly with customers to build custom solutions, integrate products into existing infrastructure, and bridge the gap between product engineering and customer success. The role combines deep technical skills with the ability to operate in client environments and translate business requirements into working software.

Originally pioneered by Palantir, the FDE model has spread across AI, enterprise SaaS, and cloud infrastructure companies. FDEs write production code, architect integrations, train customer teams, and feed product insights back to the core engineering organization. At companies like OpenAI, Salesforce, and Databricks, FDE teams are treated as elite engineering units that can ship custom solutions in days rather than quarters.

Typical FDE stack: Python, TypeScript, SQL, REST/GraphQL APIs, cloud platforms (AWS/GCP/Azure), and increasingly LLM APIs and AI orchestration frameworks. Strong communication and the ability to context-switch between technical and business conversations are as important as coding ability.