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SHIELD AI

Staff Data & Analytics Engineer, Domain Enablement

SHIELD AI
Dallas, TX $160k - $240k/yr Full time Posted 26d ago
Data Analysis Data Analytics Data Architecture Data Engineer Data Engineering Data Integration Data Lakehouse Data Pipeline Data Platform Data Processing Databricks Integration Reporting and Analytics Spark SQL
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Job Description

Staff Data & Analytics Engineer focused on domain enablement for Shield AI’s enterprise data platform, starting with Supply Chain and Manufacturing.

Responsibilities

  • Drive discovery and end-to-end enablement for complex Supply Chain and Manufacturing domains initially, with flexibility to expand to other priority enterprise domains as business needs evolve.
  • Collaborate with Supply Chain, Manufacturing, and Operations leaders to understand business processes, decisions, source systems, reporting requirements, metrics, and pain points.
  • Partner across Finance, Program Finance, Engineering, IT, Security, and other teams where processes, systems, or data overlap.
  • Convert ambiguous business goals into problem statements, prioritized use cases, phased roadmaps, technical designs, and 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, and curated datasets
    • Semantic models, testing, documentation, and production-readiness controls
  • Define canonical domain concepts such as grain, facts, dimensions, conformed entities, historical treatment, business rules, and reconciliation approaches for high-value operational and analytical data.
  • Deliver governed Supply Chain and Manufacturing data models and analytical assets for areas including parts, materials, suppliers, purchase orders, demand, supply, inventory, work orders, production, quality, cost, and fulfillment aligned to enterprise patterns and standards.
  • Work across systems such as ERP, PLM, MES, MRP, procurement, manufacturing, quality, inventory, supplier, finance, and operational systems to create integrated, understandable data products.
  • Build and optimize transformation pipelines using Databricks, SQL, Python, PySpark, Delta Lake, and related technologies.
  • Apply ingestion, modeling, naming, semantic, quality, documentation, lineage, and promotion standards across Bronze, Silver, and Gold layers; identify where standards should evolve for complex operational domains.
  • Collaborate with Data Engineering, Platform Engineering, and Data Governance on ingestion, reliability, security, access, lineage, metadata, stewardship, and quality controls for domain data products.

Requirements

  • 8+ years of experience in data engineering, analytics engineering, BI engineering, data architecture, or a blended data role.
  • Proven ability to independently deliver 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 grain, facts and dimensions, conformed dimensions, historical treatment, and auditable business logic.
  • Hands-on production experience with Databricks, including Bronze/Silver/Gold lakehouse patterns, Delta Lake, SQL, and Python and/or PySpark.
  • Experience integrating data from complex enterprise systems, including ERP, PLM, MES, MRP, procurement, inventory, supplier, quality, production, or financial systems.
  • Ability to translate ambiguous business needs into delivery scope, technical designs, and prioritized roadmaps.
  • Strong communication skills and comfort partnering with both business and technical stakeholders.

Technologies

  • Databricks, SQL, Python, PySpark, Delta Lake
  • ERP, PLM, MES, MRP

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.

Location and Compensation

  • Location: Dallas, TX (onsite)
  • Salary range: USD 160,000 - 240,000 per year

Benefits and Offer Details

  • Pay: within the listed range + Bonus + Benefits + Equity
  • Temporary employee offer: within the listed range + temporary benefits package (applicable after 60 days of employment)

Other Offer Conditions

  • Offers are contingent on a cleared background and possible reference check.
  • Military fellows and part-time employees are not eligible for benefits.

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