AVP, Tech Lead Data Engineer

Job Description:

Role Summary/Purpose:

We are looking for a Tech Lead, Sr. Data Engineer to lead the development of consumer-centric low latency analytic environment leveraging Big Data and AWS technologies. The Technical Lead must have a balanced mix of technical and business skills and often works with enterprise architects for strategic direction. 

The Technical Lead needs significant people and process skills, with ability to communicate complex ideas and issues in simple terms to project teams, external clients, and often senior management.  

They also need to deeply understand the business processes to create a cohesive vision of the products and services. This is an exciting, fast-paced, rapidly changing, and challenging work environment, and will play an important role in resolving and influencing high-level decisions across Synchrony.  

We’re proud to offer you choice and flexibility. You have the option to be remote, and work from home, or come into one of our offices. You may be occasionally requested to commute to our nearest office for in person engagement activities such as team meetings, training and culture events.

Essential Responsibilities:

• Understand and manage the data needs of stakeholders across multiple agile teams.

• Lead the design & implementation of scalable & fault tolerant data applications on Big-Data & Cloud Platform to store & process terabytes of data from upstream sources with high availability.

• 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

• Lead design, development, testing oversight and production implementation using AWS, Spark, Hive, Kafka, RDBMS (Oracle, MySQL) and NoSQL databases (Cassandra)

• 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.  

• Take part in daily team and leadership meetings.

• Stay up to date on latest trends in data engineering and recommended best practices.

• Develop innovative frameworks to avoid redundancy by promoting automation.

• Mentor and coach data engineering team members to promote Synchrony values and culture.

Qualifications/Requirements:

• Bachelor’s degree and a minimum 8 years of experience in large scale Big Data environments.

• Minimum 3 years of experience in public cloud (AWS preferred).

• 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.

• Well verse with different AWS services like EMR Serverless, EC2, S3, Lambda, GLUE, Redshift, etc.

• Experience owning a mission critical application on a big data platform.

• 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.

Desired Characteristics:

• Prior work ex