Cloud Data Architect 1

Capgemini

. Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform .

Posted 11/5/2026full-timeRemote • United StatesSeniorLead💰 $101,140 - $182,620 per yearWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in designing and maintaining scalable data pipelines and APIs on Google Cloud Platform, with a strong focus on data security, governance, and CI/CD practices. Proficient in mentoring team members and translating business strategies into effective data solutions.

Highest-signal resume keywords

Google Cloud Platform ExperienceData Architecture ExpertiseAPI DevelopmentBigQuery and Cloud Services ProficiencyCI/CD and Agile Methodologies

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data Pipeline DevelopmentAPI DevelopmentSQLETL/ELTData ModelingPython (FastAPI)JavaScalaStreaming ArchitecturesCloud Functions

Soft Skills

Problem-SolvingCommunicationCollaborationMentoring

Tools & Technologies

BigQueryCloud RunGKECloud StorageDataflow/DataprocPub/SubApigeeKafkaSpark StreamingGit/GitHub

Certifications & Qualifications

Google Cloud Professional Data Engineer Certification

Industry Keywords

Data SecurityData GovernanceCI/CDAutomated DeploymentAnalyticsReportingAI/ML Use CasesAgile Methodologies

Tech Stack

Tools & technologies

BigQueryCloudETLGoogle Cloud PlatformJavaKafkaPythonScalaSparkSQL

About the role

Key responsibilities & impact

Design, build, and maintain scalable data pipelines and APIs on Google Cloud Platform
Develop automated workflows and data platforms supporting 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
Mentor team members on best practices
Support testing, deployment, monitoring, and production troubleshooting
Own end-to-end solution delivery from idea through benefits delivery
Shape and translate business strategy into data products and sustainable technology solutions

Requirements

What you’ll need

10+ years of IT experience
5+ years in Data Architecture
Minimum 2+ years of hands-on Google Cloud Platform experience
2+ years of API development experience
Strong experience with BigQuery, Cloud Run, GKE, Cloud Functions, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs
Experience with Python (FastAPI), Java, or Scala
Experience with Apigee, Kafka, and Spark Streaming
Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures
Experience with CI/CD, Git/GitHub, and Agile methodologies
Strong problem-solving, communication, and collaboration skills
Ability to mentor junior engineers
Google Cloud Professional Data Engineer Certification is preferred
Bachelor’s degree in computer science or related field is preferred; Master’s preferred

Benefits

Comp & perks

Paid time off: vacation (12–25 days depending on grade), company-paid holidays, personal days, and sick leave
Medical, dental, and vision coverage
Retirement savings plans, including 401(k) in the U.S.
Life and disability insurance
Employee assistance programs
Other benefits provided by local policy and eligibility
Potential eligibility for variable incentives, bonuses, or commissions