Governance Tools _ Data Engineer - Lead

Tata Consultancy Services; Irvine (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

Tata Consultancy Services in Irvine, CA seeks an experienced Data Engineering Tower/Pod Lead with asset management focus to drive enterprise-scale data initiatives across global teams. Responsible for end-to-end data delivery, platform stability, and coordinating multiple pods to align with investment management objectives.

The role emphasizes governance, operational readiness, and performance optimization across data platforms, pipelines, and collaborations with business and technology

Qualifications

• Experience with large-scale data platforms and ETL/ELT pipelines.
• Strong leadership and stakeholder management skills.
• Experience with Databricks and Apache Spark.
• Proficiency in Airflow for workflow orchestration.
• Experience with CI/CD, IaC, and automation.
• Ability to manage platform reliability and incident response.

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.

Skills

Databricks

Apache Spark

Performance tuning

Airflow

DAG design

ETL/ELT

CI/CD

IaC

Automation

Platform monitoring

Incident management

Leadership

Stakeholder management

Job description

Job Description

Governance Tools _ Data Engineer - Lead
This role requires coordination between onshore, nearshore, and offshore teams

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

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-$150,000 a year