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BAU/L3 - Data Engineer - L3 Support Engineer (Sr)

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Onsite

BAU/L3 - Data Engineer - L3 Support Engineer (Sr)

Tata Consultancy Services

BAU/L3 - Data Engineer - L3 Support Engineer (Sr)

Skills

Data EngineeringDatabricksApache Airflow

2 months ago

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Important information


Contract type:

Permanent

Location:

Irvine, CA, USA

Work mode:

Onsite

Published on:

19 August 2026

What they need


BAU/L3 - Data Engineer - L3 Support Engineer (Sr)

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 Eng Sr 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

  • Work with the Data Engineering Tower, in 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- $130,000-$170,000 a year

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