Staff Data and Analytics Engineer Domain Enablement

You will discover business needs and turn them into prioritized data use cases, roadmaps, technical designs, and delivery plans. You will build governed data products, models, pipelines, semantic assets, tests, and documentation for Supply Chain and Manufacturing. You will integrate enterprise data sources and apply quality, security, lineage, and access controls.

Responsibilities

• Lead discovery and enablement for Supply Chain and Manufacturing domains
• Translate business needs into use cases, roadmaps, technical designs, and delivery plans
• Design and build governed data products and analytical assets
• Define canonical domain concepts, facts, dimensions, business rules, and reconciliation approaches
• Build and optimize transformation pipelines using Databricks, SQL, Python, PySpark, and Delta Lake
• Integrate data from enterprise operational systems
• Apply data quality, documentation, lineage, security, and access standards
• Partner with business leaders, Data Engineering, Platform Engineering, and Data Governance

Requirements

• 8+ years of data engineering, analytics engineering, BI engineering, data architecture, or blended data-role experience
• Experience delivering end-to-end data and analytics solutions
• Experience in a complex operational domain
• Dimensional modeling and semantic design skills
• Production experience with Databricks, Delta Lake, SQL, Python, and/or PySpark
• Experience integrating complex enterprise systems
• Ability to translate ambiguous business needs into delivery scopes and technical designs
• Communication and stakeholder-partnership skills

Benefits

• Bonus
• Equity