Shieldai

Staff Data & Analytics Engineer, Domain Enablement (R6112)

Dallas, Texas. Posted a month ago

The role

This senior, hands-on role enables complex business domains on Shield AI's enterprise data platform. The initial focus is Supply Chain and Manufacturing, building governed data products that make operational data usable and trustworthy. The role is not dashboard development; it sets domain data foundations and technical direction.

What you will do

  • Lead discovery and end-to-end enablement for complex Supply Chain and Manufacturing domains, with flexibility to support other enterprise domains.
  • Partner with Supply Chain, Manufacturing, and Operations leaders to understand processes, decisions, source systems, metrics, and pain points.
  • Translate ambiguous business needs into problem statements, prioritized use cases, phased roadmaps, technical designs, and delivery plans.
  • Design and build governed data products across Bronze, Silver, and Gold layers, including transformation logic, domain marts, semantic models, testing, and documentation.
  • Define canonical domain concepts, grain, facts, dimensions, business rules, and reconciliation approaches for operational and analytical data.
  • Design governed models for concepts such as parts, suppliers, purchase orders, inventory, work orders, production, quality, cost, and fulfillment.
  • Work across ERP, PLM, MES, MRP, procurement, quality, inventory, supplier, and finance systems to create integrated data products.
  • Develop and optimize transformation pipelines using Databricks, SQL, Python, PySpark, and Delta Lake.
  • Apply enterprise ingestion, modeling, naming, quality, lineage, and promotion standards, and identify where they need to evolve.
  • Partner with Data Engineering, Platform Engineering, and Data Governance on reliability, security, access, metadata, stewardship, and quality controls.

Required qualifications

  • 8+ years of experience in data engineering, analytics engineering, BI engineering, data architecture, or a blended data role.
  • Demonstrated experience independently delivering end-to-end data and analytics solutions, from source-system discovery through governed data products.
  • Strong experience in at least one complex operational domain such as Supply Chain, Manufacturing, Procurement, Planning, Logistics, Operations, Industrial, or Program Management.
  • Strong dimensional modeling and semantic design skills, including facts, dimensions, grain, conformed dimensions, and auditable business logic.
  • Hands-on production experience with Databricks, including Bronze, Silver, and Gold lakehouse patterns, Delta Lake, SQL, and Python and/or PySpark.
  • Experience operating in controlled, export-sensitive, government, defense, or security-sensitive environments.
  • Experience integrating data from complex enterprise systems such as ERP, PLM, MES, MRP, procurement, inventory, supplier, quality, production, or financial systems.
  • Ability to translate ambiguous business needs into practical delivery scopes, technical designs, and prioritized roadmaps.
  • Strong communication skills and comfort partnering directly with business and technical stakeholders.

Nice to have

  • Experience in aerospace, defense, aviation, autonomous systems, robotics, advanced manufacturing, industrial operations, or similarly complex and regulated environments.
  • Experience supporting Supply Chain or Manufacturing capabilities such as demand planning, supply planning, procurement, supplier performance, inventory and materials management, production, quality, m
  • Experience with systems such as SAP, Oracle, IFS, Deltek, Costpoint, PLM, MES, MRP, SCM, or comparable enterprise platforms.
  • Experience integrating operational measures with Program Finance, cost, inventory valuation, forecasting, planning, or program-performance reporting.
  • Experience operating in controlled, export-sensitive, government, defense, or security-sensitive environments.

Benefits

  • Bonus
  • Benefits
  • Equity
  • Temporary benefits package for temporary employees, applicable after 60 days of employment

Before you apply

  • All offers are contingent on a cleared background and possible reference check.
  • Military fellows and part-time employees are not eligible for benefits.
  • Temporary employees receive a temporary benefits package after 60 days of employment.

About the company

Shield AI is a venture-backed defense-tech company whose mission is protecting service members and civilians with intelligent systems. Its products include Hivemind autonomy software, V-BAT and X-BAT aircraft, and Aechelon simulation and synthetic reality technologies.

Staff Data & Analytics Engineer, Domain Enablement (R6112) at Shieldai | JobZoey