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lead data architect jobs near columbus, oh

Lead ETL Developer- Enterprise Data Warehouse (EDW)

Huntington Bank -
Columbus, OH

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Job Details

Full-time
$70,000 - $140,000 a year

Benefits

Wellness program
Paid holidays
Disability insurance
Health insurance
Paid time off
Retirement plan

Qualifications

Commercial use (data warehousing systems)
Cloud analytics services
Data Integration (Data management)
Spark
SQL
Spark implementation
Python
Database software proficiency

Full Job Description

Description

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.

As a technical leader, you will partner across engineering, architecture, QA, and business teams to deliver high-quality, reliable data solutions. You will drive best practices across the SDLC, mentor team members, and help shape the future-state data ecosystem leveraging modern cloud technologies including AWS, Snowflake, and Python-based frameworks .

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

Exempt Status: (Yes = not eligible for overtime pay) ( No = eligible for overtime pay)

Yes

Workplace Type:

Office

Our Approach to Office Workplace Type

Certain positions outside our branch network may be eligible for a flexible work arrangement. We’re combining the best of both worlds: in-office and work from home. Our approach enables our teams to deepen connections, maintain a strong community, and do their best work. Remote roles will also have the opportunity to come together in our offices for moments that matter. Specific work arrangements will be provided by the hiring team.

Compensation Range:

Salary- 70,000.00- 140,000.00

The compensation range represents the anticipated low and high end of the base compensation range for this position. Actual compensation will vary based on various factors including but not limited to location, experience, and education. Colleagues in this position are also eligible to participate in an applicable incentive compensation plan. In addition, Huntington provides a variety of benefits to colleagues, including health insurance coverage, wellness program, life and disability insurance, retirement savings plan, paid leave programs, paid holidays and paid time off (PTO).

Huntington is an Equal Opportunity Employer.

Note to Agency Recruiters: Huntington will not pay a fee for any placement resulting from the receipt of an unsolicited resume. All unsolicited resumes sent to any Huntington colleagues, directly or indirectly, will be considered Huntington property. Recruiting agencies must have a valid, written and fully executed Master Service Agreement and Statement of Work for consideration.

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