Overview

Job Title: Senior Lead SRE / DevOps Platform Engineering – Data Platform Reliability - AVP

Responsibilities

• Best in class leave policy
• Gender neutral parental leaves
• 100% reimbursement under childcare assistance benefit (gender neutral)
• Sponsorship for Industry relevant certifications and education
• Employee Assistance Program for you and your family members
• Comprehensive Hospitalization Insurance for you and your dependents
• Accident and Term life Insurance
• Complementary Health screening for 35 yrs. and above
• Create and drive technology transformation initiatives aligned with organizational goals.
• Identify opportunities to modernize platforms through cloud adoption, automation, and engineering best practices.
• Act as a technology change agent promoting DevOps, SRE, and automation culture.
• Apply industry‑leading practices and emerging technology trends to improve platform reliability and operational efficiency.
• Strong hands‑on experience supporting enterprise Data Warehouse and Data Lake environments.

Qualifications

• Strong experience managing and troubleshooting Control‑M scheduling, batch workflows, and production data processing activities.
• Hands‑on experience with Microsoft SQL, Oracle Database, PL/SQL, T‑SQL, data reconciliation, and performance optimization.
• Strong understanding of data governance, data quality controls, reconciliation frameworks, and data lineage.
• Strong hands‑on experience supporting enterprise Data Warehouse, Data Mart, and Data Lake environments.
• Strong experience managing and troubleshooting Control‑M scheduling, batch workflows, and production data processing activities.
• Hands‑on experience with SQL, Oracle Database, PL/SQL development, query optimization, data reconciliation, and database performance tuning.
• Strong understanding of data governance, data quality controls, reconciliation frameworks, operational controls, and data lineage.
• Monitor and manage data pipeline health, data delivery reliability, and operational performance.
• Proactively identify bottlenecks, data quality issues, and platform risks impacting business operations.
• Collaborate with Data Engineering and Application teams to enhance data reliability and operational excellence.
• Strong knowledge of ITIL Service Management processes including Incident, Problem, Change, Service Request, and Service Level Management.
• Lead and coordinate Major Incident and production support activities.
• Drive service restoration through effective stakeholder and technical team coordination.
• Perform Root Cause Analysis (RCA) and Post Incident Reviews (PIR).
• Identify recurring issues and implement preventive and corrective actions.
• Drive continuous service improvement and operational excellence initiatives.
• Ensure adherence to SLA, SLO, operational controls, and governance standards.
• Design and implement automation solutions to eliminate repetitive operational tasks.
• Develop self‑healing solutions and automated remediation capabilities.
• Build operational tooling to improve efficiency and platform reliability.
• Enhance monitoring, alerting, and observability through intelligent automation.
• Drive reduction of manual intervention and operational overhead through engineering‑led automation initiatives.
• Implement Blue‑Green, Canary, and Zero‑Downtime deployment strategies where applicable.
• Ensure adherence to banking regulatory, compliance, and audit requirements.
• Implement secure secrets management and configuration management practices.
• Integrate security controls into CI/CD pipelines and cloud environments.
• Support vulnerability management and security remediation initiatives.
• Ensure platform compliance with enterprise security standards and governance requirements.
• Demonstrate strong analytical and out‑of‑the‑box thinking capabilities during complex production challenges.
• Ability to rapidly assess business impact and formulate solution strategies during service disruptions.