Data Engineer & Platform Manager

iMPact Business Group; Grand Rapids (MI); Hybrid; USD 140,000 - 190,000; Full time

Job summary

Impact Business Group is seeking a Data Engineering & Platform Manager to own the enterprise Databricks platform and lead the data engineering team in Grand Rapids, MI. This hybrid role partners with analytics, AI, and finance to deliver scalable data solutions and robust governance, quality, and security standards across the analytics ecosystem.

You will manage Unity Catalog, Delta Lake, Lakehouse architecture, and pipelines integrating ERP/CRM/operational systems, while guiding platform

Qualifications

• Bachelor’s degree in CS/IS/Data Engineering or related field.
• 7–12 years data engineering experience, incl 3+ years Databricks admin/pipeline development.
• Experience leading and developing technical teams.
• Strong Databricks expertise: Unity Catalog, Delta Lake, Workflows, Lakehouse.
• Experience with Azure data services: Data Factory, Data Lake Gen2, Synapse, Azure SQL.
• Proficiency in SQL and Python.
• Experience with ERP integration, data governance, dimensional modeling, medallion architecture, and enterprise data security.

Responsibilities

• Manage the Databricks environment including Unity Catalog, access controls, cluster management, costs.
• Lead, mentor, and develop the data engineering team.
• Build pipelines integrating ERP, CRM, and ops systems into the Databricks Lakehouse.
• Establish data architecture, governance, quality, lineage, and security standards.
• Partner with analytics, AI, and finance to translate business needs into scalable data solutions.
• Monitor platform reliability, resolve issues, and maintain engineering standards.
• Guide platform improvements and the broader data/AI roadmap.

Skills

Databricks administration

Azure data services

SQL

Python

Data governance

Dimensional modeling

Education

Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field

Tools

Databricks

Unity Catalog

Delta Lake

Workflows

Lakehouse architecture

Azure Data Factory

Azure Data Lake Storage Gen2

Azure Synapse Analytics

Azure SQL

Job description

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.