Data Engineer

Tata Consultancy Services; Irvine (CA); Sur place; USD 110 000 - 150 000; Plein temps

Résumé du poste

Tata Consultancy Services in Irvine seeks an experienced Data Engineer Lead to oversee the Data Engineering Tower, coordinating multiple pods and onshore/nearshore/offshore teams.

You will own end-to-end data platform delivery, drive quality, reliability, and governance, and partner with portfolio management and technology leadership to align with investment objectives.

The role demands deep expertise in Databricks, Spark, Airflow, and IaC, plus strong leadership and stakeholder management skills.

Qualifications

• Strong experience with modern data platforms and large-scale data delivery.
• Expertise in workflow orchestration with Airflow/Astronomer.
• Proficiency in CI/CD, DevOps, and Infrastructure as Code.

Responsabilités

• Lead and manage the Data Engineering Tower, overseeing multiple teams and 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 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 and performance.

Connaissances

Databricks

DBT

Apache Spark

Airflow

CI/CD

IaC

Platform monitoring

Leadership

Outils

Astronomer

Terraform

Kubernetes

Description du poste

Job Description

Data Engineer - Lead (Tower)

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

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