Description

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 "

" This role requires coordination between onshore, nearshore, and offshore teams

Required Skills

• Strong experience with Databricks, DBT, 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. Preferred Domain Experience

• Asset Management

• Investment Management

• Capital Markets

• Portfolio & Market Data Platforms

Key Skills

Education

Bachelor's degree