Data Engineer Lead-2

Description Summary

The Data Engineer Lead plays a pivotal role in building and operationalizing the minimally inclusive data necessary for the enterprise data and analytics initiatives following industry standard practices and tools. They are responsible for leading the building, managing, and optimizing data pipelines, ensuring these pipelines move effectively into production for key data and analytics consumers. This role also involves testing for data quality to ensure Huntington’s data conforms to business rules and is accurate, complete, consistent, and uniform.

Duties And Responsibilities

• Architecting, creating, and maintaining data pipelines.
• Aid in renovating the data management infrastructure to drive automation in data integration and management.
• Partner with data science teams and business analysts to refine their data requirements and consumption needs.
• Train counterparts across the organization in data pipelining and preparation techniques.
• Work with data governance teams and participate in vetting and promoting content for the curated data catalog.
• Communicate complex results to technical and non-technical audiences.
• Work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines.
• Act as a strategic, intellectually curious thinker focused on outcomes.
• Build and develop a professional image capable of forming relationships across functions.
• Provide leadership, coaching, and mentoring to team members.
• Work with stakeholders to ensure business needs are understood and services meet those needs.
• Anticipate and analyze trends in technology, assessing its impact.
• Coach individuals through change and serve as a role model.
• Perform other duties as assigned.

Basic Qualifications

• Bachelor's Degree in computer science, statistics, related field, or relevant work experience
• 7+ years of related experience in data management disciplines including data integration, modeling, optimization, and data quality
• 7+ years of experience with database programming languages and advanced analytics

Preferred Qualifications

• Master's degree in computer science, statistics, or related field
• Hands-on data testing experience
• Demonstrated success working with data preparation tools
• Extensive experience with data engineering tooling (e.g., Glue, Landa, Athena, AWS)
• Expert knowledge of BI software tools
• Expert experience with open-source and commercial data science platforms
• Learn and/or Agile methodology
• Strong experience with various Data Management architectures and processes
• Strong experience in working with large, heterogeneous datasets in building and optimizing data pipelines, pipeline architectures, and integrated datasets
• Demonstrated success in working with large, heterogeneous datasets to extract business value
• Strong experience in working with DevOps capabilities like version control, automated builds, testing, and release management capabilities
• Demonstrated ability to communicate complex results to technical and non-technical audiences
• Demonstrated ability to work effectively in teams as well as independently across multiple tasks while meeting aggressive timelines
• Strategic, intellectually curious thinker with focus on outcomes
• Professional image with the ability to form relationships across functions
• Proven ability to lead cross-functional teams
• Willingness and ability to learn new technologies on the job
• Financial Services Background

Exempt Status

(Yes = not eligible for overtime pay) (No = eligible for overtime pay)

Yes

Workplace Type

Office

Tobacco-Free Hiring Practice

Visit Huntington's Career Web Site for more details.

Note to Agency Recruiters

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