Data Engineering Manager

Lake Michigan Credit Union; Grand Rapids (MI); On-site; USD 150,000 - 190,000; Full time

Benefits offered by this job

Weekly pay

Retirement savings options

Comprehensive health coverage

HSA match

Paid parental leave

Tuition reimbursement

Job summary

Lake Michigan Credit Union in Grand Rapids, MI seeks a Manager, Data Engineering to lead the data engineering function and deliver scalable, secure data platforms for self-service analytics.

You will mentor Senior Data Engineers, set standards for data modeling and ETL/ELT, and partner with BI and Governance teams to translate needs into robust solutions.

Qualifications

• 8+ years in data engineering or related fields with leadership experience.
• Bachelor's degree in a related field or significant equivalent experience.

Responsibilities

• Lead and coach the Senior Data Engineers, prioritizing work and guiding delivery.
• Establish enterprise standards for data modeling, ETL/ELT development, orchestration, and architecture.
• Oversee design, development, testing, deployment, and optimization of data pipelines and data migrations across core platforms.
• Ensure pipelines and models are reliable, secure, well-documented, and observable with quality controls.
• Collaborate with BI, Data Governance, Application Development, Infrastructure, vendors, and stakeholders to translate needs into scalable solutions.
• Deliver trusted self-service analytics with governed data products for reporting and analytics.
• Adhere to and promote core values of curiosity, collaboration, and continuous excellence.
• Support and enable governance, data lineage, and documentation best practices.

Skills

Leadership

Cross-functional collaboration

Prioritization

Communication

Education

Bachelor's degree in a related field

Tools

Microsoft Fabric

OneLake

Data Factory

Job description

Overview

As Manager, Data Engineering you lead the data engineering function to design, build, and optimize data models and pipelines that enable self-service analytics across LMCU. You manage Senior Data Engineers, set standards, and ensure scalable, secure data solutions aligned with business goals. You partner cross-functionally to translate needs into robust data platforms for reporting and decision-making. This role combines leadership with hands-on architecture in a banking environment, offering high-impact work and collaboration with multiple stakeholders.

Compensation / Benefits

• weekly pay
• retirement savings options
• comprehensive health coverage
• HSA match
• paid parental leave
• tuition reimbursement

Responsibilities

• Lead and coach the Senior Data Engineers, prioritizing work and guiding delivery
• Establish enterprise standards for data modeling, ETL/ELT development, orchestration, and architecture
• Oversee design, development, testing, deployment, and optimization of data pipelines and data migrations across core platforms
• Ensure pipelines and models are reliable, secure, well-documented, and observable with quality controls
• Collaborate with BI, Data Governance, Application Development, Infrastructure, vendors, and stakeholders to translate needs into scalable solutions
• Deliver trusted self-service analytics with governed data products for reporting and analytics
• Adhere to and promote core values of curiosity, collaboration, and continuous excellence
• Support and enable governance, data lineage, and documentation best practices

Key requirements

• 8+ years in data engineering, analytics engineering, data architecture, data warehousing, or data platform development with leadership experience
• Bachelor's degree in a related field (or significant equivalent experience)

• leadership and people management
• collaboration and cross-functional communication
• prioritization and delivery focus
• Microsoft Fabric
• OneLake
• Data Factory