Lead Data Engineer: Scalable Pipelines & Teams

Capgemini; Dallas, Northern (TX, KY); Hybrid; USD 99,000 - 141,000; Full time

Job summary

Capgemini in Dallas seeks an experienced Data Engineering Lead to design, develop, and scale robust data pipelines, collaborating with analytics and product teams to deliver trusted data products for business insights.

You will lead architecture decisions, oversee Airflow DAGs, Databricks ETL/ELT workflows, Snowflake data warehouses, and data quality practices while mentoring engineers and driving engineering excellence in a fast-paced, customer-focused environment.

Qualifications

• 10–12+ years of data engineering experience.
• Experience in production support environment with rotational shift.
• Experience with Agile methodologies, Git, and CI/CD practices.

Responsibilities

• Design, develop, and maintain data pipelines using Apache Airflow DAGs.
• Build and optimize ETL/ELT workflows using Databricks (PySpark/Spark).
• Develop and manage data warehousing solutions in Snowflake and SQL.
• Lead technical design, code reviews, performance tuning, and production support.
• Collaborate with cross-functional teams to deliver reliable and high-quality data solutions.
• Mentor team members and drive engineering best practices.

Skills

Data engineering

Production support

Agile methodologies

Git

CI/CD

Tools

Apache Airflow

Databricks

Snowflake

SQL

PySpark

Spark

Job description

Capgemini in Dallas seeks an experienced Data Engineering Lead to design, develop, and scale robust data pipelines, collaborating with analytics and product teams to deliver trusted data products for business insights.

You will lead architecture decisions, oversee Airflow DAGs, Databricks ETL/ELT workflows, Snowflake data warehouses, and data quality practices while mentoring engineers and driving engineering excellence in a fast-paced, customer-focused environment.