AVP, Senior Data Engineer

Role Summary

We are seeking a Senior Data Engineer to provide technical leadership for building and enhancing on‑premises data warehouse solutions and accelerating our migration to AWS, including Amazon Redshift. This role is a key part of a fast‑paced, constantly changing environment, and will play an important role in technology solutions at Synchrony.

• Understand and manage the data needs of stakeholders in a single business vertical.
• Design and implement scalable, fault‑tolerant data applications on on‑prem and AWS to store and process terabytes of data with high availability.
• Partner with information architects, platform architects, data scientists and product management to design solutions.
• Resolve problems through in‑depth evaluation of business processes, system processes, enterprise standards, and procedures.
• Comply with data management policies, standards, and procedures.
• Design, develop, test, and oversee production implementation using on‑prem RDBMS platforms, Ab Initio, SQL, and AWS (Amazon Redshift).
• Lead the technical team to ensure appropriate data solutions meet business goals and identify necessary system and process enhancements.
• Work closely with Product Owners, Product Managers, Program Managers, Scrum Masters, and Team Members in a Scaled Agile framework.
• Engage in mid‑level business partner engagement, managing relationships and inter‑group planning among technology leadership and peers.
• Stay up to date on latest trends in data engineering and recommended best practices.
• Utilize innovative frameworks to avoid redundancy by promoting automation.
• Collaborate with data engineering team members to promote company values and culture.
• Perform other duties and/or special projects as assigned.

• Bachelor’s degree and a minimum of 4 years of experience in technology in the consumer banking industry.
• OR high school diploma/ GED and a minimum of 6 years of experience in technology.
• OR successful completion of Synchrony’s Business Leadership Program.
• Experience with large‑scale relational database and public cloud (AWS preferred) environments.
• Strong experience and deep understanding of ETL, data warehousing, cloud technologies (AWS) and analytics concepts.
• Strong engineering skills in on‑prem RDBMS/data warehouse platforms, Ab Initio, advanced SQL, and AWS, including Amazon Redshift.
• Strong cloud engineering skills with AWS, including hands‑on experience with Amazon Redshift and related data services.
• Experience with batch and real‑time data pipelines in a Dev Ops environment.
• Willingness to work in a fast‑paced environment with globally located Agile teams working in different shifts.
• Ability to develop and maintain strong collaborative relationships with technology and business stakeholders.
• Excellent written and oral communication skills.
• Ability to present complex topics and execute with timely, actionable follow‑through.
• Ability and flexibility to travel for business as required.

• Prior work experience in a credit card, banking, or fintech company.
• Experience dealing with sensitive data in a highly regulated environment.
• Experience with data visualization technologies such as Tableau.
• Experience with APIs/microservices in data‑driven applications.
• Demonstrated implementation of complex and innovative solutions.
• Articles and publications in the field of data engineering.
• Ability to lead a team, motivate, and work collaboratively.

Grade/Level: 10
Salary range: USD  –  annually. Eligible for an annual bonus based on individual and company performance.

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