VP, Principal Data Engineering Manager

Synchrony; Stamford (CT); Hybrid; USD 135,000 - 230,000; Full time

Job summary

A leading company is seeking a VP, Principal Data Engineering Manager to lead the development of a consumer-focused analytics platform. This role involves modernizing legacy systems and acting as a data solution architect to influence high-level decisions across data platforms. The position offers flexible working options and requires strong leadership in data engineering and cloud solutions.

Qualifications

• 7+ years in enterprise data solutions, including data warehousing.
• Experience managing high-performance engineering teams.
• Proficiency with AWS services.

Responsibilities

• Design scalable data architectures integrating with existing infrastructure.
• Lead development and testing of data engineering applications.
• Monitor and optimize data architectures for performance.

Skills

Data Engineering

Cloud Platforms

AWS

Agile

Data Governance

Education

Bachelor’s degree

High school diploma/GED

Tools

AWS S3

AWS Redshift

ETL/ELT

AWS IAM

AWS Glue

Job description

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Role Summary/Purpose:

We are hiring a passionate VP, Principal Data Engineering Manager to lead the development of a cutting-edge, consumer-focused, low-latency analytics platform. This role involves modernizing and transforming legacy systems within a dynamic environment and acting as a data solution architect to influence high-level decisions across data and analytics platforms at Synchrony.

Our Way of Working

We offer flexible working options, including remote work, working near one of our hubs, or in-office presence. Occasional commuting for in-person meetings, training, or cultural events may be required.

Essential Responsibilities:

• Design scalable, robust, and secure data architectures that integrate with existing and new infrastructure.
• Lead analysis, design, development, implementation, and testing of data engineering applications in agile teams.
• Ensure solutions align with business needs, scalability, and current technology trends.
• Evaluate and recommend data technologies, platforms (Cloud, Data lakes, Data warehouses), and tools (ETL/ELT).
• Define data workflows, pipelines, and data movement strategies.
• Monitor and optimize data architectures for performance, scalability, and reliability.
• Identify bottlenecks and implement improvements in data pipelines and storage solutions.
• Hands-on experience with AWS services, including migration from On-Premises to AWS S3 & Redshift.
• Experience in designing and tuning Redshift data warehouses and ETL pipelines for AWS.
• Implement data governance, security measures (including PII and PCI standards), and access controls.
• Collaborate with data architects to reuse data structures and ensure scalable, resilient data applications.
• Drive enterprise data lake and warehouse standards, especially in cloud environments.
• Work cross-functionally with teams to meet business objectives and participate in Agile processes.
• Maintain documentation, best practices, and stay updated on emerging data technologies.
• Lead initiatives in AI/ML, predictive analytics, and real-time data processing.
• Mentor and coach team members to foster company values and culture.

Qualifications/Requirements:

• Bachelor’s degree in a related field and 7+ years of relevant experience, or 15+ years of experience with a high school diploma/GED.
• 7+ years in enterprise data solutions, including data warehousing, ELT/ETL, with experience in cloud platforms like AWS.
• 3+ years managing high-performance engineering teams.
• Proficiency with AWS services such as S3, Redshift, IAM, KMS, Athena, Glue, CloudWatch, EC2.
• AWS Solution Architect certification preferred.

Desired Characteristics:

• Experience as a Data Solution Architect in scaled Agile environments.
• Expertise in big data platforms, containerization, and cloud solutions.
• Experience managing mission-critical data applications.
• Ability to work in challenging, globally distributed teams.
• Strong communication skills and experience in regulated environments like banking or fintech.
• Proven track record of implementing complex data solutions and thought leadership in data engineering.

Additional Information:

Salary range: $135,000 - $230,000 USD annually, plus potential bonuses. Compensation varies based on experience, skills, and market location.

Eligibility & Legal:

• Must be 18 or older, with a high school diploma or equivalent.
• Willingness to undergo background checks, drug testing, and fingerprinting.
• Legal authorization to work in the U.S. required; no visa sponsorship provided.

Our Commitment

We foster a diverse and inclusive culture, valuing all perspectives and promoting belonging through initiatives like our 8 Diversity Networks+.

Reasonable Accommodation

• We provide accommodations for applicants with disabilities. Contact our Career Support Line at 1-866-301-5627 for assistance.