Lead Data Engineer - GCP Data Architect

Capgemini; Chicago (IL); Hybrid; USD 144,890 - 190,117; Full time

Job summary

Capgemini is seeking a hands-on Lead Data Engineer - GCP Data Architect in a hybrid Chicago-based role. You will design scalable data platforms on Google Cloud, architect batch and streaming pipelines, and guide technical direction while delivering concrete implementations.

The role emphasizes BigQuery, Dataflow, Pub/Sub, and Python, with a strong focus on distributed systems and data pipeline architecture to support enterprise-scale analytics.

Qualifications

• 7+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platform development.
• Hands-on experience with BigQuery, Dataflow, Pub/Sub, and Python on Google Cloud Platform.
• Strong understanding of distributed systems and data pipeline architectures.
• Experience designing batch and streaming data processing patterns and production-grade pipelines.
• Ability to balance architectural strategy with hands-on implementation and strong communication.

Responsibilities

• Design and architect scalable, secure data platforms on Google Cloud Platform.
• Lead the development of batch and real-time data ingestion and processing solutions.
• Design modern data architectures leveraging BigQuery, Dataflow, Pub/Sub, and related GCP services.
• Evaluate and implement distributed processing and data movement patterns for varying needs.
• Develop and optimize enterprise-scale ETL/ELT pipelines.
• Collaborate with data engineers, developers, platform teams, and stakeholders.
• Provide architectural guidance for data modeling, storage, governance, and performance.
• Support cloud-native deployment patterns using Cloud Run and/or GKE.
• Contribute to infrastructure automation, DevOps, and CI/CD best practices.
• Participate in architecture reviews, design sessions, and code reviews.
• Troubleshoot and optimize data processing workloads and platform performance.

Skills

BigQuery

Dataflow

Pub/Sub

Python

GCP

Distributed systems

Data pipeline architecture

Job description

Lead Data Engineer - GCP Data Architect

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 bya 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 organizationsunlock the value of technology and build a more sustainable, more inclusive world.

Location:

This is a hybrid role based in Chicago, IL.

About the job you're considering

We are seeking a hands-on GCP Data Architect to design and build scalable, cloud-native data solutions on Google Cloud Platform. This role requires strong expertise in BigQuery, Dataflow, Pub/Sub, and Python , along with a solid understanding of distributed systems, batch and streaming data architectures, and modern data engineering practices. The ideal candidate is both an architect and a doer, capable of guiding technical direction while actively contributing to implementation and delivery.

Your role

• Design and architect scalable, secure, and cost-effective data platforms on Google Cloud Platform.
• Lead the development of batch and real-time data ingestion and processing solutions.
• Design modern data architectures leveraging BigQuery, Dataflow, Pub/Sub, and related GCP services.
• Evaluate and implement appropriate distributed processing and data movement patterns for varying business requirements.
• Develop and optimize enterprise-scale ETL/ELT pipelines.
• Collaborate with data engineers, application developers, platform teams, and business stakeholders.
• Provide architectural guidance for data modeling, storage, governance, performance, and scalability.
• Support cloud-native application deployment patterns using Cloud Run and/or GKE.
• Contribute to infrastructure automation, DevOps, and CI/CD best practices.
• Participate in architecture reviews, technical design sessions, and code reviews.
• Troubleshoot and optimize data processing workloads and platform performance.

Skills & experience

• 7+ years of experience in Data Engineering, Data Architecture, or Cloud Data Platform development.
• Strong hands-on experience with:
• BigQuery
• Dataflow
• Pub/Sub
• Python
• Experience designing and implementing data solutions on Google Cloud Platform (GCP) .
• Strong understanding of:
• Distributed systems
• Data pipeline architecture
• Batch and streaming processing patterns
• Large-scale data processing and analytics
• Experience developing and supporting production-grade data pipelines.
• Ability to balance architectural strategy with hands-on implementation.
• Strong communication and stakeholder management skills.

The base compensation range for this role in the posted location is: $144,890 - $190,117.

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

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.

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 fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.

Contract Type: Permanent