Engineering Analyst - Data Engineer

Data Engineer - Lead (Tower)

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

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

Salary Range- $110,000-$160,000 a year