Engineering Analyst - Data Engineer

Tata Consultancy Services; Charlotte (NC); In loco; USD 110.000 - 160.000; Tempo pieno

Descrizione del lavoro

Tata Consultancy Services Limited in Charlotte, NC seeks a Data Engineer Lead to steer an enterprise-scale data engineering program for asset management. You will manage multiple pods, ensure platform stability, and drive end-to-end data delivery aligned with investment goals. Strong orchestration and leadership are essential.

The role emphasizes governance, performance optimization, and reliable production support across onshore, nearshore, and offshore teams.

Competenze

• Strong experience with Databricks, DBT, Spark, and performance tuning.
• Expertise in 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, IaC, and automation.
• Strong platform management, monitoring, and incident management.
• Excellent leadership and stakeholder management skills.

Mansioni

• 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

Conoscenze

Asset Management

Investment Management

Capital Markets

Market Data Platforms

Leadership

Stakeholder Management

Platform Management

Monitoring

Incident Management

Strumenti

Databricks

DBT

Apache Spark

Airflow/Astronomer

CI/CD

DevOps

Infrastructure as Code (IaC)

Automation

Descrizione del lavoro

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-$160,000 a year

Location

Charlotte, NC

Function

TECHNOLOGY

Role

Analyst

ID

435364

Skills

Data architect

Salary Range

$110,000 - $160,000