Lead Data Engineer
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Job Description
Lead Data Engineer building University of the Cumberlands’ Snowflake lakehouse and analytics infrastructure. Leading architecture, pipelines, governance, and the data engineering team.
Responsibilities:
- Own the end-to-end architecture, implementation, and evolution of the Snowflake-based data lakehouse across bronze, silver, and gold layers
- Define and lead the pipeline strategy
- Design and build ELT processes ingesting and transforming data from SQL Server, Workday, and cloud-based services using dbt Core
- Lead migration away from legacy data logic and infrastructure
- Establish and enforce data modeling standards, schema conventions, and medallion architecture best practices
- Own Snowflake security, role-based access controls, and data governance in compliance with FERPA and institutional policy
- Automate and orchestrate data workflows using Python and Prefect with Azure-based services
- Collaborate with data consumers to ensure accurate, timely, and usable data
- Monitor and troubleshoot Snowflake environments, optimize query performance, and resolve pipeline issues
- Document system architecture, data flows, and technical configurations
- Evaluate Snowflake, dbt, and ecosystem tools to improve scalability, automation, and maintainability
- Lead, mentor, and grow a high-performing data engineering team
- Perform other duties as assigned
- Report under the general supervision of the Chief Information Officer (CIO)
- Collaborate with software engineers, institutional research, Power BI developers, and the Office of Innovation and Enhancement
Requirements:
- Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or a closely related field
- Minimum of 3 years of hands-on experience administering and managing a Snowflake environment, including configuration, optimization, and security
- Experience delivering a full data lakehouse end-to-end from the ground up at meaningful scale, including 5+ source systems, enterprise-scale data volumes, architecture decisions, schema design, medallion architecture, data governance framework, and migration from legacy systems
- Proficiency with Snowflake environments, data loading, Snowflake SQL, Streams, Tasks, transformation, and security management
- Hands-on experience with dbt Core or dbt Cloud, including model development, testing, documentation, and production deployment
- Strong experience developing ELT solutions integrating cloud and on-premises data sources
- Experience with Fivetran or a comparable managed EL platform is strongly preferred
- Solid SQL skills and hands-on experience with Microsoft SQL Server
- Experience using Python for data transformation, orchestration, and automation
- Experience with a workflow orchestration platform required; Prefect strongly preferred
- Familiarity with Workday reporting data or similar ERP/SaaS data platforms preferred
- Working knowledge of cloud environments, especially Azure
- Experience supporting business intelligence solutions using tools such as Power BI
- Understanding of data governance and security frameworks, including FERPA compliance
- Strong communication skills and ability to articulate architectural priorities, manage stakeholder expectations, and push back on requests conflicting with platform strategy or engineering best practices
- Must be authorized to work for any employer in the United States; employment visa sponsorship is unavailable
Benefits:
- Student-focused work environment
- Opportunity to contribute to intellectual and spiritual growth, leadership, and service
- Opportunity to build and lead a data engineering team
- Full-time employment
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