Staff Data & Analytics Engineer, Domain Enablement - Supply Chain

Shield; Dallas (TX); On-site; USD 150,000 - 210,000; Full time

Job summary

Shield AI is seeking a Staff Data & Analytics Engineer, Domain Enablement, to lead end-to-end data enablement for Supply Chain and Manufacturing. You will design governed data products, collaborate with business and technical teams, and translate complex needs into practical, staged solutions across the data stack.

The role emphasizes durable data foundations, cross-domain collaboration, and a path to expanding to other enterprise domains as priorities evolve.

Qualifications

• 8+ years in data engineering or analytics engineering roles.
• Experience delivering end-to-end data products.
• Strong experience in an operational domain such as Supply Chain or Manufacturing.
• Strong dimensional modeling and semantic design skills.
• Hands-on Databricks and lakehouse patterns (Bronze/Silver/Gold).
• Experience in controlled, export-sensitive environments.
• Experience integrating data from ERP, PLM, MES, MRP, or related systems.
• Ability to translate ambiguous business needs into delivery scopes and roadmaps.
• Excellent communication with both business and technical stakeholders.

Responsibilities

• Lead discovery and end-to-end enablement for Supply Chain and Manufacturing domains.
• Partner with leaders to understand processes, reporting needs, and pain points.
• Translate needs into problem statements, use cases, and phased roadmaps.
• Design and build governed data products across the data stack (Bronze to Gold).
• Define canonical domain concepts, grain, facts, and conformed dimensions.
• Deliver data models and analytical assets for parts, materials, suppliers, inventory, and more.
• Work across ERP/PLM/MES/MRP and related systems to create integrated data products.
• Develop transformation pipelines using Databricks, SQL, Python, PySpark, Delta Lake.
• Apply enterprise standards for ingestion, lineage, and quality across layers.
• Collaborate with Data Engineering, Platform Engineering, and Data Governance.

Skills

Data engineering

Analytics engineering

BI engineering

Data architecture

Databricks

SQL

Python

PySpark

Tools

Databricks

SQL

Python

Job description

Shield AI is seeking a Staff Data & Analytics Engineer, Domain Enablement, to lead end-to-end data enablement for Supply Chain and Manufacturing. You will design governed data products, collaborate with business and technical teams, and translate complex needs into practical, staged solutions across the data stack.

The role emphasizes durable data foundations, cross-domain collaboration, and a path to expanding to other enterprise domains as priorities evolve.