Senior Domain Data Engineer – Supply Chain & Manufacturing

Shield; Dallas (TX); On-site; USD 160,000 - 240,000; Full time

Benefits offered by this job

Bonus

Equity

Benefits

Job summary

Shield AI is seeking a Staff Data & Analytics Engineer to enable complex Supply Chain and Manufacturing domains on the enterprise data platform. This senior, hands-on role leads discovery, scopes high-value data opportunities, and delivers governed data products for scalable decision-making.

The ideal candidate has 8+ years in data roles, strong dimensional modeling, and hands-on Databricks/PySpark experience, with ability to partner with business leaders and cross-functional teams.

Qualifications

• 8+ years of experience in data engineering, analytics engineering, BI engineering, data architecture, or a blended data role.
• Proven ability to deliver end-to-end data and analytics solutions—from source-system discovery to governed data products.
• Strong experience in at least one complex operational domain such as Supply Chain, Manufacturing, Procurement, Planning, Logistics, Operations, 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.

Responsibilities

• 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 with Supply Chain, Manufacturing, and Operations leaders to understand processes, decisions, source systems, reporting needs, metrics, and pain points; collaborate with Finance, IT, Security, and other partners where data intersects.
• Translate ambiguous business needs into clear problem statements, prioritized use cases, phased roadmaps, and technical designs.
• Design and build governed data products across the data stack, including source-system assessment, Bronze/Silver/Gold layers, transformation logic, and domain data assets.
• Define canonical domain concepts, grain, facts, dimensions, and historical treatment for high-value data.
• Design and deliver governed data models for Supply Chain and Manufacturing concepts (parts, materials, suppliers, POs, demand, inventory, production, quality, cost, fulfillment).
• Work across ERP, PLM, MES, MRP, procurement, inventory, supplier, finance, and operations systems to create integrated data products.
• Develop and optimize transformation pipelines using Databricks, SQL, Python, PySpark, Delta Lake.
• Apply data governance standards across domain data products and collaborate with Data Governance for quality controls.

Skills

Databricks

SQL

Python

PySpark

Dimensional modeling

Semantic design

Data governance

Stakeholder communication

Cross-functional collaboration

Tools

Databricks

Delta Lake

SQL

Python

PySpark

Job description

Shield AI is seeking a Staff Data & Analytics Engineer to enable complex Supply Chain and Manufacturing domains on the enterprise data platform. This senior, hands-on role leads discovery, scopes high-value data opportunities, and delivers governed data products for scalable decision-making.

The ideal candidate has 8+ years in data roles, strong dimensional modeling, and hands-on Databricks/PySpark experience, with ability to partner with business leaders and cross-functional teams.