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Role Summary/Purpose
We are looking for a AVP Principal Data Engineer to lead the development of a consumer-centric, low-latency analytic environment leveraging data technologies and transforming legacy systems. This role is in a fast-paced, challenging environment and will influence high-level decisions across Synchrony. Our Way of Working
We’re proud to offer choice and flexibility. At Synchrony, you can work from home, near a hub, or in an office. Occasionally you may be required to commute to an office for in-person engagement activities such as business or team meetings, training, and culture events. Responsibilities
Design, develop and lead data engineering applications in highly agile and fast-moving teams. Lead a data engineering team and contribute hands-on when required. Implement ETL/ELT on a big data platform (Cloudera Hadoop cluster) / container using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL), NoSQL databases (Cassandra), and public cloud solutions. Oversee design, development, testing, and production implementation. Experience with batch and real-time data pipelines in a DevOps environment using Ab Initio and Spark. Collaborate with Product Owners, Product Managers, Program Managers, and Scrum Masters in a Scaled Agile framework. Partner with architects to design data applications with scalability, resiliency and speed. Lead the data engineering team to drive program delivery. Drive technical development and application standards across the enterprise data lake and data warehouse. Communicate expectations, plan, monitor, and appraise results; coach, mentor, and enforce policies and procedures to promote productivity. Collaborate across cross-functional teams to deliver on business objectives and priorities. Apply technical knowledge and insights to contribute to the development and execution of engineering capabilities. Stay up-to-date on data engineering trends, recommend best practices, and develop innovative frameworks to promote automation. Mentor and coach the team to promote Synchrony values and culture. Perform other duties and/or special projects as assigned. Qualifications/Requirements
Bachelor's degree in Computer Science, Engineering, or related field and 4–5 years of work experience with ELT/ETL/Data warehousing in large-scale environments (e.g., Cloudera) and public cloud (AWS) using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL). In lieu of a degree, a related certification and 8–9 years of work experience with the above exposure to large-scale data environments. Desired Characteristics
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 develop and maintain strong collaborative relationships across IT and business stakeholders. Excellent written and oral communication skills, ability to present complex topics, influence, and deliver timely follow-through. Experience designing ETL pipelines to enable automated data load into AWS S3 & Redshift. Prior work experience in a Credit Card/Banking/FinTech company. Experience handling sensitive data in a regulated environment. Demonstrated implementation of complex and innovative solutions. Articles and publications in the field of data engineering (nice to have). AWS Solution Architect/Data Engineer certification (nice to have). Be the captain of the team, lead by example, motivate, and be a team player. Grade/Level:
11 Salary range for this position is
110,000.00 - 185,000.00
USD annually and is eligible for an annual bonus based on individual and company performance. Actual compensation offered will be based on work experience, skill level, or knowledge. 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 be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act New hires (Level 4-7) must have 9 months of continuous service before they can post to other roles; there are additional time-in-position requirements for other levels as described Legal authorization to work in the U.S. is required. We do not sponsor employment visas now or in the future. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status. Our Commitment
We’re committed to an inclusive culture where your skills, experience, and voice are valued. We’re building a future where everyone belongs and can turn ideals into action. More than 50% of our workforce is engaged in Employee Resource Groups (ERGs) for learning and growth. Reasonable Accommodation Notice: Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. If you require an accommodation to apply or perform your job, please contact our Career Support Line at 1-866-301-5627 (8am–5pm CST, Mon–Fri). Job Family Group
Information Technology
#J-18808-Ljbffr
We are looking for a AVP Principal Data Engineer to lead the development of a consumer-centric, low-latency analytic environment leveraging data technologies and transforming legacy systems. This role is in a fast-paced, challenging environment and will influence high-level decisions across Synchrony. Our Way of Working
We’re proud to offer choice and flexibility. At Synchrony, you can work from home, near a hub, or in an office. Occasionally you may be required to commute to an office for in-person engagement activities such as business or team meetings, training, and culture events. Responsibilities
Design, develop and lead data engineering applications in highly agile and fast-moving teams. Lead a data engineering team and contribute hands-on when required. Implement ETL/ELT on a big data platform (Cloudera Hadoop cluster) / container using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL), NoSQL databases (Cassandra), and public cloud solutions. Oversee design, development, testing, and production implementation. Experience with batch and real-time data pipelines in a DevOps environment using Ab Initio and Spark. Collaborate with Product Owners, Product Managers, Program Managers, and Scrum Masters in a Scaled Agile framework. Partner with architects to design data applications with scalability, resiliency and speed. Lead the data engineering team to drive program delivery. Drive technical development and application standards across the enterprise data lake and data warehouse. Communicate expectations, plan, monitor, and appraise results; coach, mentor, and enforce policies and procedures to promote productivity. Collaborate across cross-functional teams to deliver on business objectives and priorities. Apply technical knowledge and insights to contribute to the development and execution of engineering capabilities. Stay up-to-date on data engineering trends, recommend best practices, and develop innovative frameworks to promote automation. Mentor and coach the team to promote Synchrony values and culture. Perform other duties and/or special projects as assigned. Qualifications/Requirements
Bachelor's degree in Computer Science, Engineering, or related field and 4–5 years of work experience with ELT/ETL/Data warehousing in large-scale environments (e.g., Cloudera) and public cloud (AWS) using Ab Initio, Spark, Hive, Kafka, RDBMS (Oracle, MySQL). In lieu of a degree, a related certification and 8–9 years of work experience with the above exposure to large-scale data environments. Desired Characteristics
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 develop and maintain strong collaborative relationships across IT and business stakeholders. Excellent written and oral communication skills, ability to present complex topics, influence, and deliver timely follow-through. Experience designing ETL pipelines to enable automated data load into AWS S3 & Redshift. Prior work experience in a Credit Card/Banking/FinTech company. Experience handling sensitive data in a regulated environment. Demonstrated implementation of complex and innovative solutions. Articles and publications in the field of data engineering (nice to have). AWS Solution Architect/Data Engineer certification (nice to have). Be the captain of the team, lead by example, motivate, and be a team player. Grade/Level:
11 Salary range for this position is
110,000.00 - 185,000.00
USD annually and is eligible for an annual bonus based on individual and company performance. Actual compensation offered will be based on work experience, skill level, or knowledge. 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 be able to satisfy the requirements of Section 19 of the Federal Deposit Insurance Act New hires (Level 4-7) must have 9 months of continuous service before they can post to other roles; there are additional time-in-position requirements for other levels as described Legal authorization to work in the U.S. is required. We do not sponsor employment visas now or in the future. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, age, disability, veteran status. Our Commitment
We’re committed to an inclusive culture where your skills, experience, and voice are valued. We’re building a future where everyone belongs and can turn ideals into action. More than 50% of our workforce is engaged in Employee Resource Groups (ERGs) for learning and growth. Reasonable Accommodation Notice: Federal law requires employers to provide reasonable accommodation to qualified individuals with disabilities. If you require an accommodation to apply or perform your job, please contact our Career Support Line at 1-866-301-5627 (8am–5pm CST, Mon–Fri). Job Family Group
Information Technology
#J-18808-Ljbffr