Data Engineering Manager

Primary Location:Grand Rapids

Employee Status: Full-Time

Workplace Type:Hybrid

Who we are:

At LMCU youll find more than just a job - discover a fulfilling career where your contributions truly matter. Join our talented team at Lake Michigan Credit Union and discover the difference an employer who puts people first can make in your career and life.

About this position:

The Manager Data Engineering leads the Data Engineering function responsible for designing building maintaining and optimizing enterprise data models pipelines and integrations that support business needs and enable self-service analytics across LMCU. This role manages Senior Data Engineer resources establishes data engineering standards oversees delivery and operational support and ensures data solutions are scalable reliable secure and aligned to business priorities.

What youll do:

• Lead coach and develop Senior Data Engineers including managing workload priorities sprint commitments performance feedback career development hiring and day-to-day delivery expectations.

• Establish and maintain enterprise standards for data modeling ETL/ELT development orchestration integration patterns Microsoft Fabric/OneLake architecture and reusable data products.

• Oversee the design development testing deployment maintenance and optimization of data pipelines curated data models integrations and data migrations across core banking digital operational and analytics platforms.

• Ensure data pipelines and models are reliable secure performant well-documented and supportable through effective monitoring data quality controls lineage and issue-resolution processes.

• Partner with Business Intelligence Data Governance Application Development Infrastructure vendors and business stakeholders to translate business needs into scalable technical solutions.

• Enable trusted self-service analytics by delivering reliable accessible and well-governed data products that support reporting analytics and informed decision-making. Adhere to and champion our core values of curious minds collaborative hearts and continuous excellence.

What youll bring:

• 8 years of progressive experience in data engineering analytics engineering data architecture data warehousing or data platform development including experience leading technical resources delivery workstreams or project teams.

• Bachelors degree in computer science information systems information technology data management data analytics engineering or a related field; significant relevant experience may be considered in lieu of a degree.

• Hands-on experience with Microsoft Fabric OneLake Data Factory notebooks lakehouse and warehouse workloads SQL Server and modern cloud data platforms.

• Strong knowledge of ETL/ELT design and orchestration dimensional modeling star and snowflake schemas Kimball/Inmon concepts and medallion architecture.

• Proficiency with SQL and Python including data pipeline testing observability monitoring and troubleshooting.

• Experience with Azure DevOps/Git CI/CD practices and modern development and deployment processes.

• Knowledge of data quality controls metadata management data lineage governance and documentation best practices.

• Experience integrating core banking digital banking and other operational data sources into enterprise data platforms.

• Experience working within Agile delivery environments including ServiceNow or Jira intake prioritization and stakeholder communication.

• Relevant certifications in Microsoft Fabric Azure cloud data platforms data engineering Agile/Scrum leadership or project management are preferred.

• experience.

• Ability to work effectively within established priorities standards and processes while demonstrating strong execution and follow-through.

Preferred Qualifications:

• Experience partnering with or leading Data Science teams in the delivery of predictive analytics machine learning or AI-driven solutions.

• Familiarity with the data science lifecycle including model development model deployment (MLOps) monitoring and governance.

• Experience building platforms pipelines and infrastructure that enable Data Scientists to develop test and operationalize models at scale.

• Knowledge of modern AI machine learning and generative AI technologies and their integration into enterprise data platforms.

• Demonstrated ability to bridge Data Engineering Business Intelligence and Data Science disciplines to deliver business outcomes.

What youll get:

• All Employees: weekly pay and retirement savings options.

• Full-Time Employees: comprehensive health coverage including medical (with prescription) dental vision HSA match paid parental leave and tuition reimbursement.

• To see a full list of our benefit offerings check out this helpful guide!

Have additional questions about the role Email the Talent Acquisition Team at: .

If you lack access to the internet or require an accommodation in the application process please send your resume via mail to P.O. BOX 2848 Grand Rapids MI 49501-2848.

LMCU is an Equal Opportunity Employer