VP, Principal Data Engineering Manager

Job Description:

Role Summary/Purpose:

We are hiring a passionate "VP,  Principal Data Engineering Manager" to spearhead the solution of a cutting-edge, consumer-focused, low-latency analytics platform utilizing advanced data technologies, with a key focus on modernizing and transforming existing legacy systems within a dynamic and demanding environment will play a data solution architect role in resolving and influencing high-level decisions across data and analytics platform at Synchrony.

Our Way of Working

We’re proud to offer you choice and flexibility. At Synchrony, our way of working allows you to have the option to work from home, near one of our Hubs or come into one of our offices. Occasionally you may be required to commute to our nearest office for in person engagement activities such as business or team meetings, training and culture events.

Essential Responsibilities:

• Design scalable, robust, and secure data architectures that integrates with existing/new infrastructure.

• Solution Architect with direct experience in analysis, design, development, implementation and testing of data engineering applications in highly agile and fast-moving teams.

• Ensure alignment with business requirements, scalability needs, and technology trends.

• Evaluate and select data technologies, platforms (Cloud, Data lakes and Data warehouses) and tools (ETL/ELT) and recommend appropriate data solutions for data storage, processing, and management.

• Define data integration workflow, data flow, and pipelines to move and transform data across platforms.

• Monitor and optimize data architectures for performance, scalability, and reliability.

• Identify bottlenecks and suggest improvements in data pipelines and storage solutions.

• Firsthand experience with AWS services and prior experience on migrating workloads from OnPrem to AWS S3 & Redshift.

• Strong Experience in implementing Data warehouse solutions in Redshift by Optimizing and tuning the Redshift environment to enable more query performance.

• Hands - on experience in designing ETL pipelines to enable automated data load into AWS S3 & Redshift.

• Strong experience on architecting and Data modeling for AWS Redshift.

• Experience in designing ETL pipelines to enable automated data load into AWS S3 & Redshift.

• Ensure Seamless data exchange between on-premises and cloud systems.

• Implement the Data governance framework to ensure data quality, consistency, and accuracy.

• Implement the security measure for Personally Identifiable Information (PII) data security standards and Payment Card Industry (PCI) data security standards such as tokenization, encryption (at rest and in transit) and identity and access management.

• Partner with Data Architects to identify opportunities to reuse existing data structures and follow established data architecture and data modeling standards. And to efficiently design data applications with scalability, resiliency, and speed.

• Drive data solution and application standards across enterprise data lake, Data warehouse and Public Cloud (AWS preferred).

• Collaborate across cross-functional teams to improve and deliver on business objectives and priorities.

• Work closely with Engineering Leads, Product owners, Product Managers, Program manager, RTE, Scrum-masters in a Scaled Agile framework.

• Develop and maintain detailed documentation, best practices and standards for data solution architecture and data management.

• Stays up to date on latest trends in emerging data technologies, trends and recommends best practices.

• Advocate for and lead innovative to adopt innovative data strategies (AI/ML Models, Predictive analytics, and real time data processing).

• 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, Math, Software Engineering, Computer Engineering, or related field AND 7+ years’ experience in business analytics, data science, software development, data modeling or data engineering work OR, in lieu of degree, High School Diploma/GED with 15+ years of experience in business analytics, data science, software development, data modeling or data engineering work

• 7+ years of experience of building high scale enterprise Business Intelligence and data engineering solution