AVP – Senior Data Engineer

Company	Synchrony Financial
Location	Sharonville, OH, USA, Newport Beach, CA, USA, Stamford, CT, USA, Dallas, TX, USA, Chicago, IL, USA, Altamonte Springs, FL, USA, Charlotte, NC, USA, Alpharetta, GA, USA, Rapid City, SD, USA, New York, NY, USA, Phoenix, AZ, USA, St Paul, MN, USA, Cincinnati, OH, USA
Salary	$110000 – $185000
Type	Full-Time
Degrees	Bachelor’s
Experience Level	Senior, Expert or higher

Must have a bachelor’s degree in Computer Science, Engineering, or a related field.
6+ years of experience in ETL/Data warehousing with 4+ years of experience with large scale deployments in Oracle, MYSQL and Big Data environments such as Hortonworks/Cloudera.
Prior experience as a Hadoop Technical Lead / Architect
Strong experience and deep understanding of ETL, data warehousing, data lake technologies (Hadoop & Spark) and analytics concepts.
Experience with batch and real-time data pipelines in a DevOps environment.
Willing to work in a fast-paced environment with globally located Agile teams working in different shifts.
Ability to develop and maintain strong collaborative relationships at all levels across IT and Business Stakeholders.
Excellent written and oral communication skills. Adept and presenting complex topics, influencing and executing with timely / actionable follow-through.

Understand and manage the data needs of stakeholders across multiple agile teams.
Lead the design & implementation of scalable, performant & fault tolerant data applications on Oracle/MYSQL and Hadoop platforms to store & process terabytes of data from upstream sources with high availability, using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL).
Engage with and take direction from information architects, platform architects, data scientists and product management on solution requirements to design solutions.
Contribute to high impact problems/projects through in-depth evaluation of complex business processes, system processes, enterprise standards & procedures.
Enforce data management standards and procedures
Partner with multiple teams to ensure appropriate data solutions to meet goals as well as identify and define necessary system and process enhancements.
Provide technical leadership for data engineering agile teams to deliver against sprint and program increment objectives.
Work closely with Product Owners, Product Managers, Program Manager, Scrum Masters and Team Members in a Scaled Agile framework.
Stay up to date on latest trends in data engineering and recommended best practices.
Develop innovative frameworks to avoid redundancy by promoting automation.
Perform special projects as assigned.
Mentor and coach data engineering team members to promote Synchrony values and culture.