AVP, Principal Product Engineer

The AVP, Principal Product Engineer at Synchrony plays a pivotal role in modernizing workloads by leading vendor refactoring efforts, executing break-fix tasks, and devising user enablement strategies. This role requires a profound understanding of AWS analytics services such as EMR Studio, S3, Redshift, Glue, and Tableau, coupled with robust skills in user engagement, training development, and change management. Collaboration with vendors, business users, and cloud engineering teams is essential to refactor legacy code, ensure seamless execution of fixes, and create comprehensive training materials and user job aids. Additionally, as the Principal Product Engineer, overseeing user testing, validation, and sign-offs is crucial for a smooth transition to modern cloud-based solutions, enhancing adoption, and minimizing disruptions. This role presents an exciting opportunity to lead cloud migration initiatives, bolster analytics capabilities, and drive user transformation efforts within an innovative cloud environment. The incumbent will be accountable for the technical success of the project, fostering a collaborative, efficient, and growth-oriented atmosphere within the development team. Key Responsibilities: - Lead and mentor a team of data/analytics/cloud engineers, ensuring adherence to best practices in data development, testing, and deployment. - Conduct thorough data analysis to reveal insights, trends, and anomalies that support business decisions. - Collaborate with cross-functional teams including BI, data science, and business stakeholders to comprehend data needs and translate them into technical solutions. - Guide the team in architecting solutions involving AWS cloud components like EMR, S3, Athena, Redshift, Sagemaker, and SAS Viya. - Support data lineage, cataloging, and metadata management efforts using tools on AWS. - Keep abreast of emerging technologies and recommend enhancements to the data platform architecture. Qualifications/Requirements: - Minimum 6+ years of expertise in Data warehousing and Enterprise Data Lake Architectures; alternatively, 8+ years of relevant experience in the absence of a degree. - Proficiency in crafting complex and optimized SQL queries for large-scale data analysis and transformation. - 2+ years of experience in SQL, Python, PySpark, AWS EMR, S3, and Athena. - Ability to lead and mentor a technical team, conduct code reviews, and enforce engineering best practices. - Familiarity with metadata management tools and cloud-native data engineering practices. Desired Characteristics: - Experience with AWS cloud services. - Certifications in AWS or any other cloud platform. - Proficiency in Agile project management methods and practices. - Capability to perceive the broader context beyond day-to-day coding tasks. - Excellent verbal, written, communication, and organizational skills. - Ability to empathize with team members" emotions and challenges, leading with compassion and support. - Delegation skills to effectively assign tasks and empower team members to solve problems autonomously. - Ability to innovate and implement new technologies, tools, or methodologies to enhance the development process. - Working knowledge of Tableau, SAS Viya, Stonebranch, and Hive is advantageous. Eligibility Criteria: - Minimum 6+ years of expertise in Data warehousing and Enterprise Data Lake Architectures; alternatively, 8+ years of relevant experience in the absence of a degree. Work Timings: 3 PM to 12 AM IST Note: The work timings may vary based on business needs and require flexibility between 06:00 AM Eastern Time to 11:30 AM Eastern Time for meetings with India and US teams. The remaining hours offer flexibility for the employee to choose. For Internal Applicants: - Understand the mandatory skills required for the role before applying. - Notify your manager and HRM before applying for any role on Workday. - Ensure that your professional profile is updated with relevant details and upload an updated resume. - No ongoing corrective action plan is allowed. - Only L9+ Employees who have completed 18 months in the organization and 12 months in the current role and level are eligible to apply. Grade/Level: 11 Job Family Group: Information Technology,