Lead ETL & Data Pipeline Architect

Huntington

North Carolina

Hybrid

USD 70,000 - 140,000

Full time

14 days+
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Benefits offered by this job

Health insurance
Wellness program
Life and disability insurance
Retirement savings plan
Paid leave
Paid holidays
PTO

Job summary

Huntington Bank is seeking a Lead ETL Developer to join our Enterprise Data Warehouse (EDW) team. This role leads design, development, and optimization of scalable data pipelines enabling data-driven business decisions.

As a technical leader, you will mentor team members, drive SDLC best practices, and partner across engineering, QA, and business teams. You will leverage AWS, Snowflake, and Python-based frameworks to modernize the data ecosystem.

Qualifications

  • Bachelor's Degree required.
  • 5+ years ETL/Data Engineering experience in enterprise data warehouse environments or 4+ years in lieu of Bachelor's.
  • 5+ years SQL & Database development experience.
  • 5+ years hands-on Python/PySpark and ETL tool experience.
  • 3+ years cloud-based data platforms experience.

Responsibilities

  • Lead 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 to scalable implementations.
  • Collaborate with Product Owners, BSAs, architects, and upstream/downstream teams.

Skills

ETL/Data Engineering
SQL
Python/PySpark
Cloud data platforms
AWS Glue
Snowflake
IBM DataStage

Education

Bachelor's Degree

Tools

AWS Glue
Snowflake
Python/PySpark
IBM DataStage

Job description

Huntington Bank is seeking a Lead ETL Developer to join our Enterprise Data Warehouse (EDW) team. This role leads design, development, and optimization of scalable data pipelines enabling data-driven business decisions.

As a technical leader, you will mentor team members, drive SDLC best practices, and partner across engineering, QA, and business teams. You will leverage AWS, Snowflake, and Python-based frameworks to modernize the data ecosystem.

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