Cloud Data Architect

🕒 November 5

💵 $101.1k - $182.6k / year

⏰ Full Time

🟠 Senior

🔴 Lead

🚰 Data Engineer

Where this job comes from

Posted on Capgemini's careers page ↗Capgemini's careers page, not through a job board

First seen by Remote Rocketship November 5

Still open on Capgemini's site. Checked 2 hours ago.

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Logo of Capgemini

Capgemini

10,000+ employees

Founded 1967

💼 Consulting

🏥 Healthcare

📦 Logistics

Consulting • Healthcare • Logistics

Capgemini is a global leader in partnering with businesses to transform and manage their operations by harnessing the power of technology. With expertise across a wide array of industries such as aerospace, automotive, banking, and healthcare, Capgemini provides a constantly evolving portfolio of services to meet the ever-changing needs of their clients. Their offerings include cloud, cybersecurity, data and artificial intelligence, and enterprise management, among others. Capgemini also emphasizes innovation and sustainability, helping companies achieve digital transformation while promoting environmental and social responsibility. Additionally, Capgemini provides career opportunities across various levels and professions, encouraging innovation and diversity in its workforce.

📋 Description

• 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 and mentor team members on best practices • Support testing, deployment, monitoring, and production troubleshooting • Drive change through data-driven insights and translate business strategy into sustainable technology solutions • Own end-to-end solution delivery from idea through benefits delivery

🎯 Requirements

• 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 • Experience with Apigee, Kafka, Spark Streaming • SQL, CI/CD, Git/GitHub • Solid understanding of Agile methodologies • Strong experience with BigQuery, Cloud Storage, Dataflow/Dataproc, Pub/Sub, and APIs • Proficiency in SQL, data modeling, ETL/ELT, and streaming architectures • Strong communication skills and 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

• 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 • Additional compensation such as variable incentives, bonuses, or commissions may be available

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