Azure Cloud Architect jobs in United States
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Capgemini · 2 days ago

Azure Cloud Architect

Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world. The Azure Cloud Architect will contribute to the design and implementation of scalable data architectures and manage the underlying data infrastructure on cloud platforms.

ConsultingInformation TechnologyInsurTechIT ManagementSoftware
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H1B Sponsor Likelynote

Responsibilities

Contribute to the design and implementation of scalable data architectures, such as a Lakehouse, using Delta Lake and Unity Catalog
Manage and maintain the underlying data infrastructure, which typically exists on a major cloud platform like AWS, Azure, or GCP
Implement data governance practices, including data lineage, metadata management, and access controls integrating with other 3rd party products like Immuta, Protegrity for tokenization etc
Adhere to software engineering best practices, including participating in code reviews and CI/CD (Continuous Integration/Continuous Deployment) automation
Stay up to date with the latest trends and technologies in data engineering and the Databricks ecosystem
Design and build robust ETL (Extract, Transform, Load) and ELT workflows to ingest, transform, and load structured and unstructured data from various sources
Utilize Databricks features like Delta Live Tables and Databricks Workflows to orchestrate and manage complex data processes
Optimize and tune Apache Spark jobs for performance and cost efficiency on large datasets
Implement and enforce data security, access control, and compliance policies in Databricks and Azure
Hands on experience working on streaming technologies (Kafka, Event Hubs, Kinesis)
Experience architecting machine learning platforms, advanced analytics workloads and develop and deployment of MLOPS on Databricks
Expertise with enterprise security models, networking, and cost governance
Should have experience working with DevOps teams to establish deployment practices using Terraform or similar
Optimize Databricks performance (auto-scaling, caching, delta optimization, job tuning, cost optimization)
Prior experience in leading enterprise Azure Databricks implementations

Qualification

AzureDatabricksApache SparkETL/ELT workflowsData governanceMLOPSTerraformData securityStreaming technologiesCollaboration

Required

Contribute to the design and implementation of scalable data architectures, such as a Lakehouse, using Delta Lake and Unity Catalog
Manage and maintain the underlying data infrastructure, which typically exists on a major cloud platform like AWS, Azure, or GCP
Implement data governance practices, including data lineage, metadata management, and access controls integrating with other 3rd party products like Immuta, Protegrity for tokenization etc
Adhere to software engineering best practices, including participating in code reviews and CI/CD (Continuous Integration/Continuous Deployment) automation
Stay up to date with the latest trends and technologies in data engineering and the Databricks ecosystem
Design and build robust ETL (Extract, Transform, Load) and ELT workflows to ingest, transform, and load structured and unstructured data from various sources
Utilize Databricks features like Delta Live Tables and Databricks Workflows to orchestrate and manage complex data processes
Optimize and tune Apache Spark jobs for performance and cost efficiency on large datasets
Implement and enforce data security, access control, and compliance policies in Databricks and Azure
Hands on experience working on streaming technologies (Kafka, Event Hubs, Kinesis)
Experience architecting machine learning platforms, advanced analytics workloads and develop and deployment of MLOPS on Databricks
Expertise with enterprise security models, networking, and cost governance
Should have experience working with DevOps teams to establish deployment practices using Terraform or similar
Optimize Databricks performance (auto-scaling, caching, delta optimization, job tuning, cost optimization)
Prior experience in leading enterprise Azure Databricks implementations

Benefits

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

Company

Capgemini

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Capgemini is a software company that provides consulting, technology, and digital transformation services.

H1B Sponsorship

Capgemini has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2025 (2856)
2024 (3012)
2023 (3424)
2022 (4392)
2021 (3311)
2020 (5871)

Funding

Current Stage
Public Company
Total Funding
$4.72B
2025-09-18Post Ipo Debt· $4.72B
1999-04-01IPO

Leadership Team

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Aiman Ezzat
CEO, Capgemini Group
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Anirban Bose
CEO of Americas Strategic Business Unit
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Company data provided by crunchbase