Shield AI
Staff Data & Analytics Engineer, Domain Enablement (R6112)
Dallas, Texas · Staff · Full-time · Posted Oct 1, 2026
- Experience
- 8+ years; the posting does not state an alternative.
About the job
Leads discovery and builds governed data products and foundations for Supply Chain and Manufacturing decision-making, initially, with potential to support other enterprise domains.
What you'll do
- Partner with business and technical stakeholders to define problems, prioritize use cases, and plan phased delivery.
- Design and deliver integrated, governed data products, models, pipelines, semantic assets, and quality controls across the data stack.
- Establish domain data definitions and apply enterprise standards for modeling, documentation, lineage, security, and production readiness.
What they ask for
- 8+ years of experience in data engineering, analytics engineering, BI engineering, data architecture, or a blended data role.
- End-to-end delivery experience, including source-system discovery and integration through governed, business-consumable data products.
- Strong experience in a complex operational domain and dimensional modeling and semantic design.
- Production experience with Databricks, Bronze/Silver/Gold lakehouse patterns, Delta Lake, SQL, and Python and/or PySpark; experience in controlled, export-sensitive, government, defense, or security-sensitive environments.
Nice to have
- Experience in aerospace, defense, aviation, autonomous systems, robotics, advanced manufacturing, industrial operations, or similarly complex and regulated environments.
- Experience with Supply Chain or Manufacturing capabilities, enterprise platforms such as SAP or Oracle, or operational measures linked to finance and program reporting.
Tools
Databricks, SQL, Python, PySpark, Delta Lake, ERP, PLM, MES
Model-written summary · the original posting is authoritative