Monitor, triage, and resolve production job failures across DWH, EDL, and Cloud platforms using Stonebranch, Control Center, and AWS CloudWatch. Maintain operational continuity by following documented runbooks and escalation procedures.
Support and troubleshoot Ab Initio, Spark, and Kafka-based ETL workflows. Validate data ingestion (headers, trailers, record counts, dates) and ensure SOX compliance on all data pipelines.
Manage operational readiness for cloud-migrated applications. Maintain SOPs, runbooks, and transition-to-operations documentation in Confluence for all cloud applications.
Handle ServiceNow incidents (INCs), change requests (CRs), and RITMs following ITIL-aligned workflows for change management, request hierarchy, and escalation. Maintain DataOps dashboards for INC/CR/RITM tracking and reporting.
Prepare and submit evidence for SOX controls (data ingestion evaluation, job monitoring/alerting). Ensure audit-ready documentation and full traceability for all run activities.
Publish SRE, Platform, DWH, EDL, and Cloud KPI metrics on a monthly basis. Design templates for operational metrics, identify documentation gaps, and drive resiliency improvements.
Monitor storage utilization across DWH and EDL platforms. Support Tableau dashboard development for capacity forecasting, growth analysis, and threshold-based alerting.
Create and maintain SOPs, runbooks and Design documents in Confluence. Ensure all documentation is centralized, version-controlled, and audit-ready.
Manage Configuration Items in Tech Compass/CMDB.
Identify and implement automation solutions to reduce manual toil and improve operational efficiency. Drive continuous improvement initiatives aligned with SRE and ITIL principles.
Partner with Data Quality, Data Platform, and Engineering teams to ensure usability of all data products and effective transition to operations support. Provide guidance and direction for troubleshooting complex operational issues.
Required Skills/Knowledge:
Hands-on experience with Ab Initio (ETL development, debugging, performance tuning).
Proficient in writing and tuning SQL queries on enterprise databases (Oracle, Teradata, or equivalent).
Shell scripting for monitoring, automation, and error handling.
Experience with
Benefits
Health insurance
Additional Information
Job Description:
Role Title: AVP, Principal Operations Engineer (L11)
Company Overview:
Synchrony (NYSE: SYF) is a premier consumer financial services company delivering one of the industry's most complete digitally enabled product suites. Our experience, expertise and scale encompass a broad spectrum of industries including digital, health and wellness, retail, telecommunications, home, auto, outdoors, pet and more.
We have recently been ranked #2 among India's Best Companies to Work for by Great Place to Work. We were among the Top 50 India's Best Workplaces in Building a Culture of Innovation by All by GPTW and Top 25 among Best Workplaces in BFSI by GPTW. We have also been recognized by Ambition Box Employee Choice Awards among the Top 20 Mid-Sized Companies, ranked #3 among Top Rated Companies for Women, and Top-Rated Financial Services Companies.
We provide best-in-class employee benefits and programs that cater to work-life integration and overall well-being.
We provide career advancement and upskilling opportunities for all to take up leadership roles.
Organizational Overview:
The DataOps role is part of the Engineering team within Synchrony's Data & Analytics organization. This team is the operational backbone of Synchrony's enterprise data infrastructure - ensuring reliability, availability, and compliance of the Data Warehouse (DWH), Enterprise Data Lake (EDL), Cloud applications, and analytics platforms (SAS, BO, Anaconda, Tableau, Neo4j). The role involves day-to-day monitoring, incident management, ETL support, cloud operations, SOX/audit compliance, and continuous improvement of data operations processes through ITIL-aligned workflows and SRE practices.
Role Summary:
The AVP, Principal Operations Engineer is responsible for the operational reliability, compliance, and continuous improvement of Synchrony's enterprise data infrastructure. This role leads production support, incident resolution, SOX compliance, SRE practices, and automation across the Data Warehouse (DWH), Enterprise Data Lake (EDL), and Cloud platforms. The role partners directly with Data Platform, Engineering, and Data Quality teams to ensure stable, scalable, and observable data operations. It requires both technical depth and the communication skills to interface with senior and executive leadership on operational status, risk, and escalation.
Synchrony · Hyderabad, IN