If you’re looking for a meaningful career, you’ll find it here at Webster. Founded in 1935, our focus has always been to put people first--doing whatever we can to help individuals, families, businesses and our colleagues achieve their financial goals. As a leading commercial bank, we remain passionate about serving our clients and supporting our communities. Integrity, Collaboration, Accountability, Agility, Respect, Excellence are Webster’s values, these set us apart as a bank and as an employer.  

Come join our team where you can expand your career potential, benefit from our robust development opportunities, and enjoy meaningful work!

Own and Execute Data Engineering Programs and Workstreams catering to multiple business areas like Risk, Commercial Bank and Marketing. Add, enhance and maintain Webster data ecosystem, data flows and underlying cloud and on prem infrastructure. Provide architectural solutions for complex integration use cases.

Roles and Responsibilities

• Own and Execute Data Engineering programs and workstreams catering to multiple business areas like Risk, Commercial Bank and Marketing.
•  Provide inputs to add, enhance and maintain Webster’s data architecture, data flows and underlying cloud and on-prem infrastructure.
•  Lead, motivate, coach, and develop a team of talented data engineers and build a world class data engineering team.
•  Partner with Webster business users, vendors, and other Webster IT teams to ensure program objectives are met. Setup cadence calls with them to track progress and manage project risks.
•  Evaluate system architecture from data perspective and provide architectural solutions for complex integration use cases.
•  Oversee development of scalable pipelines with accompanying audit and process controls.
•  Run POCs and Implementation for various Informatica Cloud (IDMC) Products and Services. Spread awareness about the capabilities of informatica cloud to business and IT teams.
•  Implement Webster’s data and tool modernization goals.

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Experience Needed

• ​At least 10 years of experience in data space with 3-5 years of experience in leading and mentoring data integration/engineering teams.
• Experienced data solutions architect with in-depth knowledge of Cloud, On Prem and Hybrid data ecosystems and services. Have played key role in Data Modernization initiatives.
• Excellent written, verbal, presentation, and interpersonal skills.

• Bachelor’s degree in computer science, computer engineering, or a related field.

The estimated salary range for this position is $160,000.00 to $180,000.00. Actual salary may vary up or down depending on job-related factors which may include knowledge, skills, experience, and location. In addition, this position is eligible for incentive compensation.

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All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status.