Lead Data Engineer — GCP, BigQuery & DBT Architect

Capgemini; Atlanta, Northern (GA, KY); Hybrid; USD 130,000 - 155,000; Full time

Job summary

Capgemini is seeking a seasoned Lead Data Engineer to drive data initiatives on Google Cloud Platform, specializing in BigQuery and DBT. You will architect scalable pipelines, mentor engineers, and collaborate with analysts and business stakeholders.

The role demands strong SQL, Python scripting, and a deep understanding of data warehousing, governance, and security. Join Capgemini to impact data-driven decisions across the organization.

Qualifications

• 10+ years of data engineering experience.
• Deep expertise in GCP and BigQuery.
• Advanced DBT for data modeling and transformation.
• Expert SQL skills for large-scale processing.
• Proficiency in Python for scripting and automation.

Responsibilities

• Architect and lead scalable data pipelines on GCP with BigQuery.
• Own and evolve DBT models for robust transformations.
• Write and optimize complex SQL for analytics at scale.
• Lead data warehousing initiatives ensuring performance and reliability.
• Partner with analysts, scientists, and stakeholders to translate needs into solutions.
• Monitor and improve data pipeline performance and quality.
• Automate workflows using Python and scripting tools.
• Champion data governance and security best practices.
• Mentor junior engineers and shape engineering standards.

Skills

GCP

BigQuery

DBT

SQL

Python

Airflow

Terraform

Education

Bachelor's degree

Master's degree

Tools

Git

CI/CD

Job description

Capgemini is seeking a seasoned Lead Data Engineer to drive data initiatives on Google Cloud Platform, specializing in BigQuery and DBT. You will architect scalable pipelines, mentor engineers, and collaborate with analysts and business stakeholders.

The role demands strong SQL, Python scripting, and a deep understanding of data warehousing, governance, and security. Join Capgemini to impact data-driven decisions across the organization.