Data Platform Lead – BAU/L3 Support (Databricks/Spark)

Tata Consultancy Services

Irvine (CA)

On-site

USD 140,000 - 200,000

Full time

3 days ago
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Job summary

Tata Consultancy Services in Irvine seeks an experienced Data Engineer Lead to drive enterprise-scale data initiatives, oversee multiple pods, and ensure end-to-end delivery with strong platform stability. You will partner with business and technology leadership to align data delivery with investment and portfolio objectives.

The role emphasizes data governance, performance optimization, and production support readiness across on-site teams and stakeholders.

Qualifications

  • 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.

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/Spark
Airflow/Astronomer
Data Engineering
CI/CD & IaC
Monitoring & Incident Mgmt
Leadership

Job description

Tata Consultancy Services in Irvine seeks an experienced Data Engineer Lead to drive enterprise-scale data initiatives, oversee multiple pods, and ensure end-to-end delivery with strong platform stability. You will partner with business and technology leadership to align data delivery with investment and portfolio objectives.

The role emphasizes data governance, performance optimization, and production support readiness across on-site teams and stakeholders.

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