Data Engineer Lead

Pay rate range: $50/hr to $58/hr(C2C)

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 Eligible to workimization "

SKILLS_REQUIRED:

" 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 "