Lead ETL Developer- Enterprise Data Warehouse (EDW)
Overview
Huntington Bank is seeking a Lead ETL Developer to join our Enterprise Data Warehouse (EDW) team. This role is responsible for leading the design, development, and optimization of scalable data pipelines and solutions that enable the business to leverage data as a strategic asset.
Key Responsibilities
Technical Leadership & Delivery- Lead the design, development, and maintenance of ETL/ELT pipelines in the EDW ecosystem
Ensure alignment to enterprise data architecture, standards, and best practices
Drive solution design from requirements and data mapping documents to scalable technical implementations
Development & Engineering Excellence- Build and optimize data pipelines using AWS Glue, Snowflake, Python/PySpark, and IBM DataStage
Implement reusable, metadata-driven, and performance-optimized data integration patterns
Enforce coding standards, version control, and CI/CD practices
Data Quality, Testing & Observability- Define and implement unit testing, regression testing, and data validation strategies
Partner with QA to support system and integration testing efforts
Troubleshoot and resolve data and pipeline issues across development, QA, and production environments
Collaboration & Communication- Work closely with Product Owners, BSAs, architects, and upstream/downstream teams to deliver end-to-end solutions
Communicate progress, risks, and blockers clearly to stakeholders and leadership
Support production operations, including incident triage and root cause analysis
Continuous Improvement & Innovation- Identify opportunities to improve performance, reliability, and scalability of data pipelines
Contribute to modernization efforts (cloud migration, Snowflake optimization, automation)
Stay current on industry trends and emerging technologies in data engineering
People Leadership & Mentorship- Mentor and coach junior and mid-level developers on technical skills and best practices
Provide technical guidance and code reviews to ensure quality and consistency
Lead development efforts on key initiatives and serve as a project-level technical lead
Basic Qualifications
Bachelor's Degree
5+ years of ETL/Data Engineering experience in enterprise data warehouse environments or an additional 4 years of related work experience may be considered in lieu of the Bachelor's Degree
5+ years of experience with SQL and Database development
5+ years of hands on-experience with Python/PySpark and ETL tools
3+ Years of experience with cloud-based data platforms
Preferred Qualifications
Strong understanding of Data Warehousing Concepts, modeling, and SDLC methodologies
Proven experience leading development teams or acting as a technical lead on large-scale data initiatives
Experience with AWS services (Glue, S3, EC2) and Snowflake architecture optimization
Knowledge of data pipeline observability, monitoring, and automated testing frameworks
Experience defining future-state data architecture or modernization roadmaps
Familiarity with CI/CD pipelines, DevOps practices, and version control systems
Understanding of data governance, security, and regulatory considerations in financial services
AWS Certifications (Solutions Architect, DevOps Engineer) preferred
Prior experience in banking or financial services industry
What Success Looks Like in This Role
Delivers reliable, scalable, and high-performing data pipelines
Drives consistency in development standards and SDLC practices across the team
Acts as a trusted technical partner across engineering and business stakeholders
Elevates team capability through mentorship and structured guidance
Actively contributes to modernization and innovation within the EDW platform