Senior Data Engineer

About this role

Job Title: Data Engineering POD Lead – Asset Management

Job Summary

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.

Required Skills

- 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.

Preferred Domain Experience

• Asset Management
• Investment Management
• Capital Markets
• Portfolio & Investment Data Platforms
• Market Data, Security Master, Risk & Performance Analytics

Experience:
10+ Years

Domain:
Asset Manage...