Must live in Michigan, Illinois or Ohio. If you live within commuting distance of Grand Rapids you will need to be onsite 1-2 days per week. If not, and you live in one of the other states listed, you must be onsite 1-2 times per quarter. Client will pay for expenses if you have to travel into corporate. No sponsorship now or in the future for this role. W2 Only with great benefits.

Data Engineering Manager

Position Overview

Seeking an experienced Data Engineering Manager to lead a team responsible for enterprise data architecture, pipeline development, integrations, and data platform optimization. This role combines technical leadership, team management, and collaboration with business stakeholders to deliver scalable, reliable data solutions.

Key Responsibilities

• Lead, mentor, and manage Senior Data Engineers, including workload planning, project delivery, performance management, and professional development.

• Oversee the design, development, and optimization of enterprise data pipelines, data models, and integrations.

• Establish engineering standards for ETL/ELT processes, data architecture, orchestration, and Microsoft Fabric/OneLake environments.

• Manage data integration and migration initiatives across digital, operational, and analytics platforms.

• Ensure data quality, security, performance, monitoring, documentation, and regulatory compliance.

• Collaborate with BI, Data Governance, Application Development, Infrastructure, vendors, and business stakeholders to deliver effective data solutions.

• Drive Agile delivery, prioritize engineering initiatives, and support self-service analytics.

• Maintain compliance with applicable regulations, including BSA, USA PATRIOT Act, and OFAC requirements.

Qualifications & Experience

• 8+ years of experience in data engineering, data architecture, data warehousing, or cloud data platforms preferred.

• Experience leading technical teams, managing engineering resources, or overseeing complex data initiatives.

• Strong knowledge of Microsoft Fabric, OneLake, Data Factory, lakehouse, and data warehouse technologies.

• Proficiency in SQL, Python, SQL Server, and ETL/ELT development.

• Experience with dimensional modeling, star/snowflake schemas, Kimball/Inmon concepts, and medallion architecture.

• Familiarity with Azure DevOps, Git, CI/CD, Agile/Scrum, Jira, and ServiceNow.

• Understanding of data quality, metadata management, lineage, pipeline monitoring, and troubleshooting.

• Strong communication, problem-solving, and stakeholder management skills.

Education & Certifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or related field. Equivalent experience may be considered.

• Microsoft Fabric, Azure, cloud data engineering, or Agile certifications preferred.