Director Data Engineering and Solution Architecture at Webster Bank

You're a seasoned leader with at least 15 years of experience in full lifecycle data implementation projects, including 5+ years working with major cloud data s

Work type: hybrid

Location: CT Stamford HQ

Salary: $140,000 – $150,000/yr

Type: Full-time

Summary

You're a seasoned leader with at least 15 years of experience in full lifecycle data implementation projects, including 5+ years working with major cloud data stacks like AWS. **What makes it worth a look...** This full-time, hybrid role at Webster Bank offers an annual salary of $140,000 - $150,000, based in their Stamford, CT HQ. You'll lead enterprise data solutions, focusing on architectural integrity, scalability, and regulatory compliance. **You might be a good fit if you...** * Have 5+ years of experience with the AWS/Azure/GCP data stack, including S3, Redshift, AWS Glue, EMR, and Snowflake. * Possess 5+ years of experience with Oracle and SQL Server, with NoSQL experience being a plus. * Are proficient in Python or other scripting languages for data processing. * Have a strong understanding of data modeling, algorithms, and data transformation techniques.

Job Description

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!

As a Director, Data Engineering and Solutions Architecture, the person will lead the design, and execution of enterprise data solutions that power analytics, operational insights, and regulatory reporting. This role owns the end-to-end architectural integrity of the enterprise data warehouse ecosystem and ensures data solutions are scalable, governed, accurate, and audit ready.

In addition to setting architectural direction, this role leads major data initiatives and programs, acting as a primary liaison between technology teams and business, risk, compliance, and finance leadership. The Director ensures that business objectives and regulatory obligations are translated into sustainable, compliant data architectures and delivery plans.  The role should be able to detail solutions including logical models that align with physical data models and work to reduce data redundancy, streamline data movements, and improve enterprise information management.

Job Responsibilities and Duties

• Lead and govern major enterprise data initiatives, including:      


• Warehouse and platform modernization


• Regulatory reporting remediation or transformation programs


• Data consolidation and rationalization efforts


• New domain or subject-area data product rollouts

• Partner with program and delivery leaders to define:


• Architectural scope


• Target designs

• Work with Product owners, Application owners and data architect to capture business requirements


• Develop data solutions across on-prem and Cloud platforms.


• Building processes for optimal extraction, transformation and loading of data from various data sources using AWS, Snowflake and SQL technologies


• Align data architecture with business requirements


• Architecting systems for Regulatory Reporting framework including lineage, auditability, reproducibility, historical restatement and as of reporting


• Awareness of Regulatory Principles, Controls and Audit Readiness


• Ensure compliance with all the data platform regulations, policies, and procedures.

Education/Experience

• 15+ years of experience working on large scale, full lifecycle data implementation projects


• 5+ years of the AWS/Azure/GCP data stack: S3, Redshift, AWS glue, EMR, Snowflake


• Strong understanding of data modeling, algorithms, and data transformation techniques


• 2+ years BI Tools experience


• 5+ years in Oracle, SQLServer (No-SQL experience is a plus)


• 3+ Python or other scripting

• Data provisioning/integration tools


• AI, ML Technologies/Tools


• Strong interpersonal skills and excellent communication and presentation skills


• Deep knowledge of SQL Scripting


• Deep knowledge of all types of relational database systems

#LI-Hybrid

#LI-FO1

Webster Financial Corporation and its subsidiaries (“Webster”) are equal opportunity employers that are committed to sustaining an inclusive environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, age, marital status, national origin, ancestry, citizenship, sex, sexual orientation, gender identity and/or expression, physical or mental disability, protected veteran status, or any other characteristic protected by law.

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