Data Analyst / Data Engineer
Analytics
Analytics Engineer
Big Data
Business Analytics
Business Intelligence
Cloud
Cloud Platform
Cloud Platforms
Data Analysis
Data Analytics
Data Analytics Tools
Data Architecture
Data Engineer
Data Integration
Data Pipeline
Data Platform
Data Processing
Data Visualization
Integration
Microsoft
Microsoft Power Platform
Power BI
Power Platform
Reporting and Analytics
SQL
Job Description
The Lead Product Development Data Engineer builds standardized, scalable data workflows and analytics applications that connect engineering needs with enterprise stakeholders.
Responsibilities
- Build, optimize, and maintain big data pipelines and architectures using Snowflake, Databricks, or Microsoft Fabric
- Design scalable data models and storage solutions (including Lakehouse and DirectLake) using SQL, Python, and PySpark across cloud ecosystems in Azure or AWS
- Migrate legacy data workflows to modern cloud architectures with emphasis on data governance, pipeline security, and data lineage
- Drive consistency across assigned Product Development processes and digital applications through documentation and continuous refinement
- Develop, deploy, and maintain executive-ready dashboards and reporting tools using Power BI, PowerApps, and Palantir Foundry
- Streamline administrative and operational cross-functional work using Power Automate and Microsoft 365 tools
- Collaborate with IT, Manufacturing, Finance, Purchasing, and Program Management to capture technical requirements and align with business goals
- Support integration of machine learning models and predictive analytics into existing engineering data pipelines
- Translate complex data and process trade-offs into clear decision packages, business cases, and leadership presentations
Requirements
- Bachelor of Science degree in Engineering from an accredited program
- Hands-on experience with Snowflake or Databricks
- Proficiency in SQL, Python, and/or PySpark
- Demonstrated expertise with tools including Power BI, SharePoint, PowerApps, Power Automate, Azure, or Palantir Foundry
- Hands-on experience with modern cloud architectures, including Microsoft Fabric (Lakehouse, DirectLake, DAX, Dataflows) and/or AWS cloud services
- Proven leadership and self-starter mindset with strong organizational skills and fluent English communication for presenting to all management levels
Technologies
- Snowflake, Databricks, Microsoft Fabric, Microsoft Fabric Lakehouse, DirectLake
- SQL, Python, PySpark
- Lakehouse, DAX, Dataflows
- Azure, AWS
- Power BI, PowerApps, Palantir Foundry, Power Automate, Microsoft 365, SharePoint
Preferred Qualifications
- Master’s degree in Data Science, Business Analytics, Computer Science, Information Technology, or a related field
- Experience supporting core engineering processes such as Sourcing, Quality, Validation, Manufacturing, Logistics, or Program Management
- Experience integrating predictive models or AI capabilities into production data pipelines
- Proven ability in business process mapping, writing Business Requirements Documents (BRDs), and technical process documentation
- Familiarity with open-source frameworks like Apache Spark or Hadoop
Location: Auburn Hills, MI (onsite)
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