Description

Required Skills

•          Strong experience with Databricks, Apache Spark, and performance tuning. 

•          Expertise in Apache Airflow/Astronomer for workflow orchestration and DAG design. 

•          Deep understanding of Data Engineering, ETL/ELT, and large-scale data platforms. 

•          Experience with CI/CD, DevOps, Infrastructure as Code (IaC), and automation. 

•          Strong platform management, monitoring, and incident management experience. 

•          Excellent leadership and stakeholder management skills. 

Job Summary

We are seeking an experienced Data Engineering Tower /Pod Lead with a strong background in Asset Management to lead enterprise-scale data engineering initiatives. The ideal candidate will be responsible for end-to-end data delivery, platform stability, and managing multiple data engineering pods while ensuring alignment with business and investment management objectives.

Key Responsibilities

•          Lead and manage the Data Engineering Tower, overseeing multiple teams and delivery pods. 

•          Own end-to-end data platform delivery, operational excellence, and SLA adherence. 

•          Drive scalable data pipeline development, data quality, and platform reliability. 

•          Manage cross-functional dependencies, stakeholder communication, and issue escalations. 

•          Ensure high availability, monitoring, alerting, and production support readiness. 

•          Collaborate with business, portfolio management, and technology leadership teams. 

Define and implement best practices for platform governance, operational readiness, and performance optimization
 

Key Skills

Education

Any Graduate