Staff Data & Analytics Engineer, Domain Enablement (R6112)

Telemetry Today LLC; Dallas, Northern (TX, KY); Hybrid; USD 140,000 - 200,000; Full time

Job summary

Telemetry Today LLC is seeking a Staff Data & Analytics Engineer, Domain Enablement to enable complex business domains on the enterprise data platform. You will lead discovery, scope high-value data and analytics opportunities, and deliver governed data products for usable, trustworthy, and scalable operational data.

The role works across the data stack—from understanding source systems and defining integration needs through transformation, modeling, semantic design, quality controls,

Qualifications

• Senior, hands-on role enabling complex business domains on enterprise data platform.

Responsibilities

• Lead discovery, scope high-value data and analytics opportunities, and deliver governed data products.
• This is not a dashboard-development role; establish domain data foundations and technical direction.

Job description

The Staff Data & Analytics Engineer, Domain Enablement is a senior, hands-on role responsible for enabling complex business domains on Shield AI’s enterprise data platform.

This person will lead discovery, scope high-value data and analytics opportunities, and deliver governed data products that make operational data more usable, trustworthy, and scalable for business decision-making. The role works across the data stack—from understanding source systems and defining integration needs through transformation, modeling, semantic design, quality controls, documentation, and business consumption.

The initial focus for this role is Supply Chain and Manufacturing, including the systems, processes, and data required to support planning, procurement, suppliers, materials, inventory, production, quality, fulfillment, cost, and program operations. Over time, the role may expand to support other complex domains as enterprise priorities evolve.

This is not a dashboard-development role. The Staff Data & Analytics Engineer will establish the domain data foundations and technical direction needed to deliver durable data products and accelerate future use cases. The ideal candidate combines strong technical depth with the ability to work directly with business partners, clarify ambiguity, and turn complex operational needs into practical, staged solutions.