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.
What you'll do:
- Lead discovery and end-to-end enablement for complex Supply Chain and Manufacturing domains initially, with flexibility to support other priority enterprise domains as business needs evolve.
- Partner directly with Supply Chain, Manufacturing, and Operations leaders to understand business processes, decisions, source systems, reporting needs, metrics, and pain points; collaborate with Finance, Program Finance, Engineering, IT, Security, and other partners where processes, systems, or data intersect.
- Translate ambiguous business needs into clear problem statements, prioritized use cases, phased roadmaps, technical designs, and achievable delivery plans.
- Design and build governed data products across the data stack, including source-system assessment and integration requirements; Bronze, Silver, and Gold data assets; transformation logic; domain marts; curated datasets; semantic models; testing; documentation; and production-readiness controls.
- Define canonical domain concepts, grain, facts, dimensions, conformed entities, historical treatment, business rules, and reconciliation approaches for high-value operational and analytical data.
- Design and deliver governed Supply Chain and Manufacturing data models and analytical assets for concepts such as parts, materials, suppliers, purchase orders, demand, supply, inventory, work orders, production, quality, cost, and fulfillment, aligned to established enterprise patterns and standards.
- Work across ERP, PLM, MES, MRP, procurement, manufacturing, quality, inventory, supplier, finance, and operational systems to create integrated and understandable data products.
- Develop and optimize transformation pipelines using Databricks, SQL, Python, PySpark, Delta Lake, and related technologies as appropriate.
- Apply enterprise ingestion, modeling, naming, semantic, quality, documentation, lineage, and promotion standards across Bronze, Silver, and Gold layers; identify where those standards need to evolve to support complex operational domains.
- Partner with Data Engineering, Platform Engineering, and Data Governance to apply shared standards and establish the ingestion, reliability, security, access, lineage, metadata, stewardship, and quality controls needed for domain data products.
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 and integration through governed, business-consumable 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, historical treatment, 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 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.
Preferred qualifications:
- 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, maintenance, repair, or fulfillment.
- 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.
Skills Required
- 8+ years of experience in data engineering, analytics engineering, BI engineering, data architecture, or a blended data role
- Experience independently delivering end-to-end data and analytics solutions from source-system discovery and integration through governed, business-consumable 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, historical treatment, and auditable business logic
- Hands-on production experience with Databricks, Bronze, Silver, and Gold lakehouse patterns, Delta Lake, SQL, and Python and/or PySpark
- 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
- 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, maintenance, repair, or fulfillment
- Experience with 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
What the Team is Saying
Shield AI Compensation & Benefits Highlights
-
Healthcare Strength — Healthcare coverage is described as excellent, with dental/vision and mental‑health support, and ancillary protections like life and disability appearing in benefit summaries. The breadth and perceived affordability of coverage are highlighted as a standout component of the package.
-
Parental & Family Support — Paid parental leave is featured alongside enhanced maternity benefits, fertility and childcare support, and onsite resources such as a Mother’s Room. These elements are positioned as competitive and above the minimal baseline for the company’s stage.
-
Equity Value & Accessibility — Equity is granted to all full‑time hires, with RSUs, double‑trigger tax timing, and tools to model scenarios (e.g., through Carta Tax). Communications also reference a transition from options to RSUs, reinforcing access and maturity of ownership programs.
Shield AI Insights
What We Do
At Shield AI, you won't wait years to see your work reach the field. You'll build hardware and software that operates in the real world right now, in the hands of the people who depend on it. Hivemind, our AI pilot, has been flying since 2018. It has flown more than 30 platforms, including an F-16, and it now sits under a U.S. Air Force production contract for Collaborative Combat Aircraft. When you write code or shape a system here, you contribute to technology with a proven flight record and a clear production future. V-BAT flies intelligence, surveillance, and reconnaissance missions with an operational record that stretches from Ukraine to the Indo-Pacific. It delivers eyes where they matter most, in the most demanding conditions on earth. The teams behind it watch their work get tested where the stakes are real. X-BAT takes its first flight this year. It's an AI-piloted fighter that needs no runway, built to operate where traditional aircraft can't. Join now and you help shape a program at its earliest, most formative stage. That's the kind of ground-floor work that defines a career. Do the most impactful work of your life, on problems that matter. Autonomy at this level asks a lot of you. You'll take on problems in perception, planning, and control that few teams anywhere are equipped to solve. You'll work across disciplines, from aerospace and robotics to machine learning and systems engineering, alongside people who hold themselves to an exacting standard and expect the same from you. Our mission is clear: protect service members and civilians with intelligent systems. That purpose runs through every decision, every design review, and every deployment. It's why the work here carries a weight you can feel. Ready to join our mission? Explore our open roles and find where you fit.
Why Work With Us
Founded in 2015 by a former Navy SEAL, Shield AI builds AI pilots and uncrewed aircraft. Veterans aren't an afterthought here, they're at every level. It's why the work carries weight: AI pilots and uncrewed aircraft flying real missions, from Ukraine to the Indo-Pacific, protecting service members and civilians.
Gallery
%203.jpg)
Shield AI Teams
.jpg)
Shield AI Offices
Hybrid Workspace
Employees engage in a combination of remote and on-site work.
