Data Engineering & Platform Manager
Grand Rapids, MI | Hybrid with onsite responsibilities
Impact Business Group is seeking a Data Engineering & Platform Manager for a global medical device manufacturer. This hands-on leadership role owns the enterprise Databricks platform, leads the data engineering team, and builds the infrastructure supporting analytics and AI.
Key Responsibilities
- Manage the Databricks environment, including Unity Catalog, access controls, cluster management, performance, and costs.
- Lead, mentor, and develop the data engineering team.
- Build reliable data pipelines integrating ERP, CRM, and operational systems into the Databricks Lakehouse.
- Establish data architecture, governance, quality, lineage, and security standards.
- Partner with analytics, AI, and finance leaders to translate business needs into scalable data solutions.
- Monitor platform and pipeline reliability, resolve issues, and maintain engineering standards and documentation.
- Guide platform improvements, integration decisions, and the broader data and AI roadmap.
Required Qualifications
- Bachelor's degree in Computer Science, Information Systems, Data Engineering, or a related field.
- 7-12 years of data engineering experience, including 3+ years of hands-on enterprise Databricks administration and pipeline development.
- Experience leading and developing technical teams.
- Strong Databricks expertise, including Unity Catalog, Delta Lake, Workflows, and Lakehouse architecture.
- Experience with Azure data services, including Data Factory, Data Lake Storage Gen2, Synapse Analytics, and Azure SQL.
- Proficiency in SQL and Python.
- Experience with ERP integration, data governance, dimensional modeling, medallion architecture, and enterprise data security.
Preferred Qualifications
- Manufacturing, healthcare, or life sciences experience, particularly in regulated or ISO-certified environments.
- PySpark, SAP integration, Microsoft Dynamics/GP, or dbt experience.
- Experience optimizing Databricks performance and Azure costs.
- Relevant Databricks or Azure certification.
Benefits
Comprehensive benefits include medical, dental, and vision coverage; a 401(k); paid time off and holidays; and employee assistance resources, subject to eligibility.
Who Should Apply-and What This Means for You
Ideal for a senior data engineer, technical lead, or data engineering manager with strong Databricks and Azure experience who wants to remain hands-on while leading a team.
You'll have ownership of a critical enterprise platform, influence technology decisions, and help shape the foundation for analytics and AI across a global manufacturing organization.