Data analyst​/Data Engineer

The Lead Product Development Data Engineer owns key data processes and analytics applications within the broader Product Development Process (PDP). In this cross-functional role, you will bridge the gap between Engineering and enterprise organizations—including IT, Manufacturing, Finance, Purchasing, and Supply Chain—to establish standardized, high-performing data workflows, modern cloud architectures, and scalable analytics solutions.

• Enterprise Platform Management: Build, optimize, and maintain big data pipelines and architectures leveraging Snowflake
  , Databricks
  , or Microsoft Fabric
  .

• Cloud & Data Pipelines: Design scalable data models and storage solutions (Lakehouse, Direct Lake) using SQL, Python, PySpark, and cloud ecosystems across Azure or AWS.

• Modern Analytics Integration: Migrate legacy data workflows to modern cloud architectures, establishing robust data governance, pipeline security, and data lineage.

• Process Ownership: Drive global uniformity, documentation, and continuous refinement across assigned Product Development processes and digital applications.

• Business Intelligence & Dashboards: Develop, deploy, and maintain executive-level dashboards and reporting tools using Power BI
  , Power Apps
  , and Palantir Foundry
  .

• Workflow Automation: Streamline administrative and operational cross-functional engineering tasks using Power Automate and Microsoft 365 tools.

• Stakeholder Alignment: Collaborate across IT, Manufacturing, Finance, Purchasing, and Program Management to capture technical requirements and align business goals.

• AI/ML Workflows: Support the integration of machine learning models and predictive analytics into existing engineering data pipelines.

• Executive Communication: Translate complex data technicalities and process trade-offs into clear decision packages, business cases, and leadership presentations.