AVP Principal Data Engineer (L11)

Job Description

Role Summary/Purpose:We are looking for a Principal Data Engineer to lead the development of consumer-centric low latency analytic environment leveraging Big Data technologies and transform the legacy systems. This role is an exciting, fast-paced, constantly changing, and challenging work environment, and will play an important role in resolving and influencing high-level decisions across Synchrony.This position is remote, where you have the option to work from home. On occasion we may request for you to commute to our nearest office for in person engagement activities such as team meetings, training and culture events. To ensure the safety of our colleagues and communities, we require employees who come together in-person to be fully vaccinated. Were proud to offer you choice and flexibility.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 Platforms 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 proceduresLead design, development, testing oversight and production implementation using Spark, Hive, Kafka, RDBMS (Oracle, MySQL), NoSQL databases (Cassandra), Ab Initio and AWS.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.Mentor and coach data engineering team members to promote Synchrony values and culture.Qualifications/Requirements:Bachelors degree in Computer Science, Engineering, or a related field with minimum of 8+ years of experience in Technology in the consumer banking industry or in lieu of degree 10+ years of experience in TechnologyExperience in ETL/Data warehousing with 6+ years of experience with large scale Big Data environments such as Hortonworks/Cloudera and public cloud (AWS preferred).Prior experience as a Hadoop Technical Lead / ArchitectStrong experience and deep understanding of ETL, data warehousing, data lake technologies (Hadoop & Spark) and analytics concepts.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.For Internal Applicants: Understand the criteria or mandatory skills required for the role, before applying.Inform your Manager or HRM before applying for any role on Workday.Ensure that your Professional Profile is updated (fields such as Education, Prior experience, Other skills) and it is mandatory to upload your updated resume (Word or PDF format)Must not be any corrective action plan (First Formal/Final Formal, PIP)Employees who have completed 18 months in the organization and 12 months in current role and level are only eligible.Level 9+ employees can applyDesired Characteristics:Prior work experience in a Credit Card/Banking/Fin Tech company.Experience dealing with sensitive data in a highly regulated environment.Demonstrated implementation of complex and innovative solutions.Demonstrated leadership capabilities amongst peers and within prior teams.,

Keyskills :
javainformaticasqldata warehousing