Senior Data Engineer - GCP

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

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

About the role you're considering

We are seeking a seasoned Lead Data Engineer with over 10 years of experience in data engineering, including deep expertise in Google Cloud Platform (GCP) and BigQuery, and strong proficiency in DBT for data transformation and modeling. This role is ideal for a strategic thinker and hands-on technologist who can lead complex data initiatives, mentor junior engineers, and collaborate cross-functionally to drive data excellence across the organization.

Your role

• Architect, design, and lead the development of scalable data pipelines and solutions on GCP, with a focus on BigQuery.
• Own and evolve DBT models to ensure robust, tested, and well-documented data transformations.
• Write and optimize advanced SQL queries for large-scale data processing and analytics.
• Lead the implementation of data warehousing solutions, ensuring performance, scalability, and reliability.
• Partner with data analysts, scientists, and business stakeholders to translate business needs into technical solutions.
• Monitor, troubleshoot, and continuously improve data pipeline performance and data quality.
• Automate workflows and data tasks using Python and other scripting tools.
• Champion data governance, security, and compliance best practices.
• Mentor junior engineers and contribute to the development of engineering standards and best practices.

Skills & experience

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• 10+ years of experience in data engineering or related roles.
• Expert-level SQL skills with a track record of writing efficient, scalable queries.
• Advanced proficiency in DBT for data modeling and transformation.
• Extensive hands-on experience with BigQuery and other GCP data services.
• Deep understanding of data warehousing principles, architecture, and performance optimization.
• Proficiency in Python for scripting, automation, and data manipulation.
• Experience with version control systems like Git and CI/CD pipelines.
• Strong leadership, communication, and stakeholder management skills.
• Experience with orchestration tools like Airflow or Cloud Composer.
• Familiarity with Terraform or Infrastructure as Code (IaC) practices.
• GCP Professional Data Engineer certification.
• Experience in leading data modernization or cloud migration initiatives.
• Knowledge of data governance frameworks and tools (e.g., Data Catalog, DLP).

Base compensation range

#LI-NE1 The base compensation range for this role in the posted location is: $130,000 - $155,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law. The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction. These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity. It is not typical for candidates to be hired at or near the top of the posted compensation range. In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Benefits

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick LeaveMedical, dental, and vision coverage (or provincial healthcare coordination in Canada)Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)Life and disability insuranceEmployee assistance programsOther benefits as provided by local policy and eligibility

Important Notice:

Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Disclaimers

Capgemini is an Equal Opportunity Employer encouraging inclusion in the workplace. Capgemini also participates in the Partnership Accreditation in Indigenous Relations (PAIR) program which supports meaningful engagement with Indigenous communities across Canada by promoting fairness, accessibility, inclusion and respect. We value the rich cultural heritage and contributions of Indigenous Peoples and actively work to create a welcoming and respectful environment. All qualified applicants will receive consideration for employment without regard to race, national origin, gender identity/expression, age, religion, disability, sexual orientation, genetics, veteran status, marital status or any other characteristic protected by law.

This is a general description of the Duties, Responsibilities and Qualifications required for this position. Physical, mental, sensory or environmental demands may be referenced in an attempt to communicate the manner in which this position traditionally is performed. Whenever necessary to provide individuals with disabilities an equal employment opportunity, Capgemini will consider reasonable accommodations that might involve varying job requirements and/or changing the way this job is performed, provided that such accommodation does not pose an undue hardship. Capgemini is committed to providing reasonable accommodation during our recruitment process. If you need assistance or accommodation, please reach out to your recruiting contact.

Please be aware that Capgemini may capture your image (video or screenshot) during the interview process and that image may be used for verification, including during the hiring and onboarding process.

Click the following link for more information on your rights as an Applicant in the United States. http://www.capgemini.com/resources/equal-employment-opportunity-is-the-law

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fuel