Data Engineering POD Lead

We are seeking an experienced Data Engineering POD Lead with a strong background in Asset Management/Investment Management to lead a high-performing data engineering pod. The ideal candidate will be responsible for end-to-end delivery of data solutions, platform reliability, and alignment with business objectives across portfolio, market, and investment data domains. Key Responsibilities

• Lead and manage the Data Engineering POD, ensuring successful project delivery and operational excellence.
• Own end-to-end delivery of data engineering initiatives, maintaining SLA compliance and platform performance.
• Collaborate with business stakeholders, portfolio management teams, and technology leadership.
• Manage cross-team dependencies, risks, and escalations across multiple workstreams.
• Design and oversee scalable data pipelines, data quality frameworks, and data platform solutions.
• Ensure platform stability, monitoring, incident management, and production support readiness.
• Drive best practices for reliability, availability, scalability, and operational governance.

• Strong expertise in Databricks, Apache Spark, and performance tuning.
• Hands-on experience with Apache Airflow/Astronomer for workflow orchestration and DAG design.
• Extensive experience in Data Engineering, ETL/ELT, data quality, and scalable pipeline development.
• Strong knowledge of DevOps, CI/CD, Infrastructure as Code (IaC), and automation.
• Experience with platform administration, monitoring, alerting, and operational support.
• Excellent leadership, stakeholder management, and communication skills.