Google Cloud Data Architect 1

Capgemini; Oregon; Híbrido; USD 140.000 - 210.000; Jornada completa

Ventajas ofrecidas por este puesto de trabajo

Medical, dental, vision coverage

401(k) retirement plans

Paid time off

Descripción de la vacante

Capgemini seeks a Senior Staff Data Engineer – API to design, build, and support scalable enterprise data platforms on Google Cloud. You will work hands-on, collaborating with data scientists and engineers to enable analytics and AI/ML use cases.

This role requires 10+ years IT with 5+ in data architecture, 2+ years GCP, and API development experience, plus strong SQL, CI/CD, and Agile practices. Capgemini offers a broad benefits package for regular full-time employees.

Formación

• 10+ years IT experience including 5+ years in Data Architecture.
• Minimum 2+ years hands-on experience with Google Cloud Platform.
• 2+ years API development experience.
• Proficient with SQL, CI/CD, Git/GitHub and Agile methodologies.

Responsabilidades

• Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
• Develop automated workflows and data platforms for analytics, reporting, and AI/ML use cases.
• Implement data security, governance, CI/CD, and automated deployment best practices.
• Collaborate with data engineers, architects, data scientists, and business stakeholders.
• Produce high-quality, reusable code and mentor junior engineers on best practices.
• Support testing, deployment, monitoring, and production troubleshooting.

Conocimientos

Data Architecture

GCP

API development

BigQuery

Cloud Run

GKE

Cloud Functions

Python FastAPI

Java

Scala

Apigee

Kafka

Spark Streaming

SQL

CI/CD

Git/GitHub

Agile

Mentoring

Communication

Educación

Bachelor's degree

Master's degree preferred

Herramientas

Apigee

Kafka

Spark

Vertex AI

BigQuery

Cloud Storage

Dataflow

Dataproc

Pub/Sub

Descripción del empleo

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.

Job Description

Data Architects drive change that creates business opportunity through data driven insights. Architects shape and translate Business strategy to data products and needs into realisable, sustainable technology solutions. Architects take end-to-end solution delivery ownership from idea to benefits delivery.

Location

Anywhere in the USA but preferred in Atlanta GA , Nashville TN and Dallas TX

About the job you're considering

We are seeking a Senior Staff Data Engineer – API with strong Google Cloud Platform (GCP) experience to design, build, and support scalable enterprise data platforms. This role is hands‑on and highly collaborative, requiring strong problem‑solving skills and the ability to work in fast‑paced, matrixed environments.

Your role

• Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform.
• Develop automated workflows and data platforms that support analytics, reporting, and AI/ML use cases.
• Implement best practices for data security, governance, CI/CD, and automated deployment.
• Collaborate with data engineers, architects, data scientists, and business stakeholders.
• Produce high-quality, reusable code and mentor team members on best practices.
• Support testing, deployment, monitoring, and production troubleshooting.

Your skills and experience Required

• 10+ years of IT experience with 5+ years in Data Architecture.
• Minimum 2+ years of hands‑on experience with Google Cloud Platform.
• 2+ years of API development experience
• Strong experience with:
• BigQuery, Cloud Run, GKE, Cloud Functions
• Python (FastAPI), Java, or Scala
• Apigee, Kafka, Spark Streaming
• SQL, CI/CD, Git/GitHub
• Solid understanding of Agile methodologies
• Strong problem‑solving, communication, and collaboration skills
• Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs.
• Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures.
• Experience with CI/CD, Git/GitHub, and Agile methodologies.
• Strong communication skills and ability to mentor junior engineers.

Preferred

• Experience with Apigee, Python (FastAPI), Spark, Kafka, Vertex AI.
• Google Cloud Professional Data Engineer Certification.
• Bachelor's degree in computer science or related field (Master's preferred).
• #LI-SD1

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

Capgemini offers a comprehensive, non‑negotiable benefits package to all regular, full‑time employees.

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.

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 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.

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.