Data Engineering Tower Lead

Job Title: Data Engineering Tower Lead (Asset Management) Job Summary We are seeking an experienced Data Engineering Tower 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. 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. Preferred Domain Experience • Asset Management • Investment Management • Capital Markets • Portfolio & Market Data Platforms Experience: 12+ Years Location: Client Preference Domain: Asset Management / Investment Management