Synchrony
Overview
AVP, Principal Data Engineer role at Synchrony. Lead the development of a consumer-centric, low-latency analytic environment leveraging data technologies and transform legacy systems. This role is fast-paced, challenging, and influential in high-level decisions across Synchrony. Note:
This description preserves the original job information and intent. Essential Responsibilities
Design, develop and lead data engineering applications in highly agile and fast-moving teams. Lead a data engineering team and contribute personally when required. Implement ETL/ELT on big data platforms (Cloudera Hadoop cluster) / containers using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL), NoSQL databases (Cassandra), and public cloud solutions. Responsible for design, development, testing oversight and production implementation. Experience with batch and real-time data pipelines in a DevOps environment using Ab Initio and Spark. Collaborate with Product Owners/Managers, Program Managers, and Scrum Masters in a Scaled Agile framework. Partner with architects to design scalable, resilient, and fast data applications. Drive program delivery as part of a data engineering team. Advance technical development and standards across the enterprise data lake and data warehouse. Set expectations, plan and monitor results, coach and develop team members, and enforce policies and standards. Collaborate across cross-functional teams to support business objectives and priorities. Apply technical knowledge and industry experience to contribute to the development and execution of engineering capabilities. Stay up-to-date on data engineering trends; promote automation and innovative frameworks to reduce redundancy. Mentor and coach the team to promote Synchrony values and culture. Perform other duties or special projects as assigned. Qualifications/Requirements
Bachelor's degree preferred in Computer Science, Engineering, or related field, and 4–5 years of experience with ELT/ETL/Data warehousing, large-scale data environments (e.g., Cloudera) and public cloud (AWS preferred) using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL). In lieu of a degree, a related field certification and 8–9 years of relevant experience with large-scale data environments. Desired Characteristics
Prior experience as a Data Engineering Technical Lead in a Scaled Agile framework. Strong understanding of ETL, data warehousing, data lakes (Hadoop & Spark) and analytics concepts. Experience owning multiple mission-critical applications on a data platform. Experience with batch and real-time data pipelines in a DevOps environment. Willingness to work in a fast-paced environment with globally located Agile teams on different shifts. Ability to build strong collaborative relationships with IT and business stakeholders. Excellent written and verbal communication; ability to present complex topics, influence, and follow through on actions. Experience designing ETL pipelines for automated data loading into AWS S3 & Redshift. Prior experience in a Credit Card/Banking/FinTech company. Experience handling sensitive data in a regulated environment. Demonstrated implementation of complex and innovative solutions. Articles/publications in the field of data engineering (nice to have). AWS Solution Architect/Data Engineer certification (nice to have). Be a team leader who leads by example, motivates, and collaborates effectively. Compensation and Employment Details
Grade/Level: 11 The salary range for this position is 110,000.00 - 185,000.00 USD annual, eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted range will depend on experience and skill. Salaries are adjusted according to market in CA, NY Metro, and Seattle. Eligibility Requirements
You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, undergo a background investigation, and submit fingerprints as part of onboarding You must satisfy the requirements of Section 19 of the Federal Deposit Insurance Act New hires (Level 4-7) must meet time-in-position requirements before posting to other roles; internal policy applies for higher levels Legal authorization to work in the U.S. is required. We do not sponsor visas. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment
We foster an inclusive culture where your skills and voice are valued. More than 50% of our workforce participates in Employee Resource Groups. We are proud of our award-winning culture for all. Reasonable Accommodation Notice
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require accommodation to apply or perform your job. Examples include changes to the application process or work procedures, alternate document formats, sign language interpretation, or specialized equipment. For special accommodations, contact our Career Support Line at 1-866-301-5627, available 8am–5pm CT, Monday–Friday.
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AVP, Principal Data Engineer role at Synchrony. Lead the development of a consumer-centric, low-latency analytic environment leveraging data technologies and transform legacy systems. This role is fast-paced, challenging, and influential in high-level decisions across Synchrony. Note:
This description preserves the original job information and intent. Essential Responsibilities
Design, develop and lead data engineering applications in highly agile and fast-moving teams. Lead a data engineering team and contribute personally when required. Implement ETL/ELT on big data platforms (Cloudera Hadoop cluster) / containers using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL), NoSQL databases (Cassandra), and public cloud solutions. Responsible for design, development, testing oversight and production implementation. Experience with batch and real-time data pipelines in a DevOps environment using Ab Initio and Spark. Collaborate with Product Owners/Managers, Program Managers, and Scrum Masters in a Scaled Agile framework. Partner with architects to design scalable, resilient, and fast data applications. Drive program delivery as part of a data engineering team. Advance technical development and standards across the enterprise data lake and data warehouse. Set expectations, plan and monitor results, coach and develop team members, and enforce policies and standards. Collaborate across cross-functional teams to support business objectives and priorities. Apply technical knowledge and industry experience to contribute to the development and execution of engineering capabilities. Stay up-to-date on data engineering trends; promote automation and innovative frameworks to reduce redundancy. Mentor and coach the team to promote Synchrony values and culture. Perform other duties or special projects as assigned. Qualifications/Requirements
Bachelor's degree preferred in Computer Science, Engineering, or related field, and 4–5 years of experience with ELT/ETL/Data warehousing, large-scale data environments (e.g., Cloudera) and public cloud (AWS preferred) using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL). In lieu of a degree, a related field certification and 8–9 years of relevant experience with large-scale data environments. Desired Characteristics
Prior experience as a Data Engineering Technical Lead in a Scaled Agile framework. Strong understanding of ETL, data warehousing, data lakes (Hadoop & Spark) and analytics concepts. Experience owning multiple mission-critical applications on a data platform. Experience with batch and real-time data pipelines in a DevOps environment. Willingness to work in a fast-paced environment with globally located Agile teams on different shifts. Ability to build strong collaborative relationships with IT and business stakeholders. Excellent written and verbal communication; ability to present complex topics, influence, and follow through on actions. Experience designing ETL pipelines for automated data loading into AWS S3 & Redshift. Prior experience in a Credit Card/Banking/FinTech company. Experience handling sensitive data in a regulated environment. Demonstrated implementation of complex and innovative solutions. Articles/publications in the field of data engineering (nice to have). AWS Solution Architect/Data Engineer certification (nice to have). Be a team leader who leads by example, motivates, and collaborates effectively. Compensation and Employment Details
Grade/Level: 11 The salary range for this position is 110,000.00 - 185,000.00 USD annual, eligible for an annual bonus based on individual and company performance. Actual compensation offered within the posted range will depend on experience and skill. Salaries are adjusted according to market in CA, NY Metro, and Seattle. Eligibility Requirements
You must be 18 years or older You must have a high school diploma or equivalent You must be willing to take a drug test, undergo a background investigation, and submit fingerprints as part of onboarding You must satisfy the requirements of Section 19 of the Federal Deposit Insurance Act New hires (Level 4-7) must meet time-in-position requirements before posting to other roles; internal policy applies for higher levels Legal authorization to work in the U.S. is required. We do not sponsor visas. All qualified applicants will receive consideration without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or veteran status. Our Commitment
We foster an inclusive culture where your skills and voice are valued. More than 50% of our workforce participates in Employee Resource Groups. We are proud of our award-winning culture for all. Reasonable Accommodation Notice
Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. Please tell us if you require accommodation to apply or perform your job. Examples include changes to the application process or work procedures, alternate document formats, sign language interpretation, or specialized equipment. For special accommodations, contact our Career Support Line at 1-866-301-5627, available 8am–5pm CT, Monday–Friday.
#J-18808-Ljbffr