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WesBanco Bank Inc.

Director of Data Engineering - Information Technology - Wheeling, WV

WesBanco Bank Inc., Cincinnati, Ohio, United States, 45208

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Director of Data Engineering - Information Technology

#00-7280

Multiple Locations

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Location

This position is 100% remote within the Bank's footprint. Employee will work full-time remotely outside of a WesBanco location (may occasionally attend in-person meetings, although primary functions of the role are performed remotely). Market

Wheeling

Work Hours per Week

37.5

Requirements

Bachelor's degree in Computer Science, Data Science, Information Systems, Engineering, or a related field required; Master's degree preferred. Minimum of ten years of progressive experience in data engineering and architecture roles required, including a minimum of five years in a leadership capacity. Experience in the financial services industry or other highly regulated environments preferred. Job Description

SUMMARY: The VP, Director of Data Engineering is a strategic and hands-on leadership role responsible for defining and executing the vision for enterprise data engineering, pipeline development, and platform architecture. This position leads the design, development, and operational oversight of scalable data pipelines and systems that enable data integration, analytics, reporting, and data science across the organization. This leader ensures the delivery of secure, compliant, and high-performing data environments by guiding engineering and architecture teams through the design and operation of robust, modern data platforms. The role is critical in advancing the Bank's data maturity and driving business value through efficient data practices and infrastructure. OTHER QUALIFICATIONS: Extensive experience in designing and managing complex data pipelines, platform architecture, and distributed data systems required. Strong programming and scripting skills in SQL, Python, R, and experience with ETL/ELT tools and orchestration frameworks required. Hands-on experience with modern data platforms such as Snowflake, Databricks, Amazon Redshift, BigQuery, or similar required. Proven success in leading and scaling cross-functional technical teams in data engineering and platform architecture required. Proficiency in cloud-based data platforms (e.g., AWS, Azure, Google Cloud) and hybrid cloud/on-premises architectures. Familiarity with enterprise architecture frameworks (e.g., TOGAF), CI/CD pipelines, version control, and DevOps tools. Knowledge of metadata management, data quality frameworks, and data lineage tooling. Demonstrated ability to align data initiatives with business strategies and drive measurable impact. Strong interpersonal and communication skills with the ability to influence stakeholders at all levels. Ability to communicate effectively with technical and non-technical stakeholders. Full-Time/Part-Time

Full-time

Area of Interest

Information Technology

All Locations

Wheeling, West Virginia, United States

Uniontown, Ohio, United States

Ann Arbor, Michigan, United States

Chattanooga, Tennessee, United States

Cincinnati, Ohio, United States

Independence, Ohio, United States

Columbus, Ohio, United States

Defiance, Ohio, United States

Fairmont, West Virginia, United States

Findlay, Ohio, United States

Fort Wayne, Indiana, United States

Frankfort, Kentucky, United States

Huntington, West Virginia, United States

Indianapolis, Indiana, United States

Ironton, Ohio, United States

New Albany, Indiana, United States

Franklin, Tennessee, United States

Parkersburg, West Virginia, United States

Pittsburgh, Pennsylvania, United States

Toledo, Ohio, United States

Youngstown, Ohio, United States

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