Skip to main content
Tallo logoTallo logo
Apply for this opportunity

This job application is on an outside website. Be sure to review the job posting there to verify it's the same.

BAU/L3 Support _ Data Engineer - Lead (Tower)

Job

Tata Consultancy Services Limited

Irvine, CA (In Person)

$130,000 Salary, Full-Time

Posted 2 days ago (Updated 7 hours ago) • Actively hiring

Expires 7/19/2026

Review key factors to help you decide if the role fits your goals.
Pay Growth
?
out of 5
Not enough data
Not enough info to score pay or growth
Job Security
?
out of 5
Not enough data
Calculating job security score...
Total Score
78
out of 100
Average of individual scores

Were these scores useful?

Skill Insights

Compare your current skills to what this opportunity needs—we'll show you what you already have and what could strengthen your application.

Job Description

BAU/L3 Support _ Data Engineer - Lead (Tower) 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