Senior Data Engineering Lead

0101 The Huntington National Bank; Columbus (OH); Hybrid; USD 120,000 - 170,000; Full time

Job summary

Huntington National Bank seeks a Data Engineer Senior Lead to direct data engineering initiatives, architect and deploy scalable data pipelines, and ensure data quality across enterprise analytics programs. You will partner with data science teams and business analysts to translate requirements into robust data solutions.

The role emphasizes leadership, strategic thinking, and collaboration across functions to deliver data-driven value and innovate within the organization.

Qualifications

• Bachelor’s degree in computer science, statistics, or related field; 10+ years in data management and data engineering roles.
• 10+ years of technical leadership and experience with data-centric products and with data integration, modeling, optimization, and data quality.
• Preferred: Master’s degree; expert with data engineering tooling and BI platforms; strong Agile/learn-and-adapt mindset.

Responsibilities

• Lead Data Engineers projects and efforts.
• Set strategy and vision for data engineering within the enterprise.
• Architect, create, and maintain data pipelines.
• Collaborate with data science and business analytics teams on data requirements.
• Coach and mentor team members; forecast skill needs and growth.
• Evaluate tools with stakeholders to prioritize analytics use cases.

Skills

Data Engineering

Technical Leadership

Data Pipelines

AWS Glue

Athena

BI Tools

Open-source Platforms

Education

Bachelor's Degree in CS/Statistics/Related Field

Master's Degree (Preferred)

Tools

Glue

Landa

Athena

AWS

Job description

Description Summary:

The Data Engineer Senior Lead will play 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. This position involves leading the design, development, and deployment of Data Engineering solutions to meet enterprise goals and support experimentation and innovation while also serving as a technical leader. Also, this role will direct the efforts to ensure Huntington’s data conforms to business rules and is accurate, complete, consistent, and uniform. The Data Engineer Lead will also lead efforts to build and deploy Data Engineering solutions for some of Huntington’s most valuable and most challenging data-driven projects.

Duties and Responsibilities:

• Lead Data Engineers projects and efforts.
• Help set the strategy and tone for data engineering strategy and vision for the future.
• Leads the architecting, creating, and maintaining of data pipelines.
• Work in partnership with data science teams and with business analysts in refining their data requirements for various data and analytics initiatives and their data consumption requirements.
• Work with data governance teams and participate in vetting and promoting content created in the business and by data scientists to the curated data catalog for governed reuse.
• Provides leadership, coaching, and mentoring to team members and develops the team to work with all areas of the organization.
• Identifies the roles, skills, and knowledge required to achieve organizational goals, and forecasts new skill requirements.
• Leads the evaluation of tools with key stakeholders across varying management levels to prioritize analytics use cases and requests and maintain the overall book of work.
• Plans and ensures the execution of work, and achievement of team goals.
• Strategic, intellectually curious thinker with focus on outcomes.
• Professional image with the ability to form relationships across functions.
• Works with stakeholders to ensure that business needs are clearly understood and that services meet those needs.
• Anticipates and analyzes trends in technology while assessing the emerging technology’s impact(s).
• Coaches' individuals and teams through change and serves as a role model.
• Performs other duties as assigned.

Basic Qualifications:

Bachelor's Degree in computer science, statistics, related field or relevant work experience 10+ years of related experience in data management disciplines including data integration, modeling, optimization, and data quality, and/or other areas directly relevant to data engineering responsibilities and tasks. 10+ years of technical leadership and experience with data-centric products, experience with database programming languages, and with advanced analytics tools

Preferred Qualifications:

Master's degree in computer science, statistics or related field Expert 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 Demonstrated ability to influence both technical and non-technical audiences Demonstrated participation and leadership in the broader technology community Ability to foster an inclusive and innovative working environment Demonstrated negotiation, influencing, partnership & presentation/communication skills Ability to understand business challenges and translate them into value added, data driven solutions 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 datasets to extract business value Strong experience in working with DevOps capabilities like version control, automated builds, testing and release management capabilities Strategic, intellectually curious thinker with focus on outcomes Professional image with the ability to form relationships across functions Ability to train more junior analysts regarding day-to-day activities, as necessary 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)

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.

Equal Opportunity Employer:

Huntington is an Equal Opportunity Employer.

Tobacco-Free Hiring Practice:

Visit Huntington's Career Web Site for more details https://www.huntington.com/lookingout

Accessibility

We endeavor to make this site accessible to any and all users. If you would like to contact us regarding the accessibility of this site or if you require a reasonable accommodation to apply for a job or to perform the essential functions of the job, please send an email to [e-mail] Reasonable Accommodations. Various methods will be used throughout the recruitment process to verify candidate authenticity.

EEOC Disclaimer and Privacy Information

EEOC Disclaimer Know Your Rights CA Data Privacy CA Data Privacy Rights Tobacco Disclaimer Tobacco-Free Hiring Practice