Overview
We are looking for an experienced Data Platforms & Operations Lead to support enterprise-scale Data Warehouse and Data Lake environments within the Banking domain. The ideal candidate will have strong expertise in cloud-based data ecosystems, production support, and operational excellence.
Technical Environment: AWS Data stack, Snowflake, Informatica IDMC, Python and Control M
Responsibilities:
Operational Support
- Monitor and manage daily data batch processing for the Enterprise Data Warehouse (EDW) and Data Lake environments.
- Provide production support, troubleshoot incidents, and ensure timely resolution of issues.
- Perform root cause analysis and implement permanent fixes for recurring production incidents to reduce downtime.
- Execute pre-batch activities and validations for scheduled data loads and processing requests.
- Support production deployments, perform validation checks, and ensure smooth platform operations post-deployment.
Incident Management
- Identify, investigate, and resolve data quality issues across multiple data ingestion sources and pipelines.
- Apply data fixes and corrective actions to ensure data integrity and availability.
- Collaborate with development and QA teams to ensure consistent regression testing for all source system application changes.
Enhancements & Change Management
- Deliver small to medium enhancements requested by CIO and business teams to meet evolving reporting and data requirements.
- Handle change requests and ensure all updates adhere to established change control processes.
Participate in operational readiness reviews and ensure seamless integration of changes into production.
Leadership & Collaboration
- Act as a bridge between technical teams, business users, and leadership, ensuring effective communication and alignment of objectives.
- Mentor junior staff and promote best practices in production operations and incident management.
Requirements
- 8–10 years of experience in data operations, production support, or data engineering within enterprise-scale environments.
- Strong experience supporting Snowflake and Informatica IDMC (or equivalent data integration platforms).
- Hands-on experience with AWS data services (S3, EMR, Athena) and orchestration tools like Control-M.
- Proven track record in managing distributed teams (onshore/offshore model).
- Solid understanding of data quality, incident management, and change control best practices.
- Strong analytical and problem-solving skills with an emphasis on automation and operational efficiency.
- Excellent communication and stakeholder management skills.