Overview :

- Location: India; Hyderabad, India; Pune, India; Delhi, India; Bengaluru, India; Kolkata, India
- Salary: N/A

About Us : Synchrony is more than a financial services company, we’re a team of passionate innovators committed to delivering best-in-class solutions that support millions of customers across the U.S. With a bold focus on technology, data, and digital innovation, we create meaningful experiences that simplify lives and enable financial wellness.

When you join Synchrony, you become part of an inclusive culture where your voice matters, your growth is championed, and your work drives impactful results.

- Job ID
- 2602164
- Category
- Technology
- Date posted
- 07/30/2026

Role Title : AVP, Principal Data Engineer (L11)

Organizational Overview : Synchrony's Data Engineering team architects and operates cloud-native data platforms and event-driven pipelines that process hundreds of millions of credit card transactions annually, delivering curated, trustworthy datasets to downstream consumers and operational systems with high availability and strong reliability requirements

We champion engineering rigor, data quality, and a platform-first mindset across real-time event streaming, batch orchestration, Lakehouse architecture, and AI-ready data products, leveraging cutting-edge open-source and cloud-native technologies.

Role Summary/Purpose : We are looking for an AVP, Principal Data Engineer to serve as a hands-on technical leader who both drives and delivers, writing production-quality code, owning end-to-end data pipeline design and delivery, and setting the technical direction for the team. This role will lead the design and delivery of cloud-native, event-driven data platforms that power real-time transactional workflows and AI-ready data products,



while modernizing legacy data systems and influencing architectural decisions across Synchrony’s enterprise data platform.

Key Responsibilities :

- Design and implement scalable ELT/ETL and 24x7 real-time event streaming pipelines using Ab Initio Continuous Flows/Spark Streaming and Kafka ecosystems (AWS MSK and Confluent Kafka), ensuring fault tolerance, strong delivery guarantees (idempotency/exactly-once where applicable), and near-zero downtime deployments.
- Own event-driven data workflows that process high-throughput, low-latency financial transactions across mission-critical systems, and build/operate Lakehouse data infrastructure on AWS (S3, Glue, EMR, Redshift), using Ab Initio (must-have) and Spark as core engineering tool.
- Develop AI-ready data products and feature pipelines for downstream analytics and operational AI use cases, and lead cloud migration efforts to modernize legacy batch ETL into cloud-native, event-driven architecture.
- Collaborate with solution architects to translate designs into robust, scalable implementations; partner with product owners and program managers in a Secure/Scaled Agile environment to align delivery with business priorities.
- Define and enforce data engineering standards, coding best practices, CI/CD, and DevOps processes; mentor engineers and foster a culture of engineering excellence and continuous learning.

Required Skills/Knowledge :

- Bachelor’s degree in Computer Science,



Engineering, or related field with 8+ years of experience in ELT/ETL, data warehousing, or Lakehouse engineering; or, in lieu of a degree with 10+ years of equivalent hands-on experience.
- 8+ years of full lifecycle data engineering experience (design, development, testing, documentation, performance tuning, and production support) across large-scale technologies including Ab Initio, Kafka (MSK/Confluent), Spark, Hive, RDBMS (Oracle/MySQL), and AWS services (EMR, MSK, Glue, S3, Redshift, IAM).
- 5+ years of experience with 24x7 real-time/streaming pipelines and 2+ years with AWS cloud platform engineering, including infrastructure-as-code and containerized workloads.
- Experience leading or mentoring data engineering teams in an Agile/SAFe delivery environment.
- Ability to travel for business as needed.

Desired Skills/Knowledge :

- Experience in FinTech, credit card, or banking environments handling sensitive data in a regulated context, with the ability to communicate complex technical topics and influence decisions across IT and business stakeholders.
- AWS Solutions Architect or AWS Data Engineer certification (or actively pursuing). Exposure to agentic AI or LLM-integrated data workflows is a plus.
- Thought leadership such as articles, publications, or open-source contributions in data engineering or cloud data platforms is a plus.

Eligibility Criteria : Bachelor's degree in Computer Science, Engineering, or related field with 8+ years of experience in ELT/ETL, Data Warehousing, or large-scale data platform engineering on distributed systems and public cloud (AWS preferred).

In lieu of a degree with 10+ years of equivalent hands-on experience in large-scale data environments.

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📌 Avp, Principal Data Engineer (Telangana)
🏢 Synchrony
📍 Telangana