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).

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.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• 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 Leave

• Medical, 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 insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility