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Azure/Databricks Infrastructure Engineer

Seattle, WA · On-site

$63.50 - $84.75/hr

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement ...

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How much do deloitte azure jobs pay per hour?

As of Jun 20, 2026, the average hourly pay for deloitte azure in the United States is $58.40, according to ZipRecruiter salary data. Most workers in this role earn between $52.88 and $65.62 per hour, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an Azure Consultant at Deloitte, and why are they important?

To thrive as a Deloitte Azure Consultant, you need expertise in cloud architecture, Microsoft Azure services, and a related degree or certification such as Microsoft Certified: Azure Solutions Architect Expert. Familiarity with Azure DevOps, security best practices, and enterprise cloud migration tools is typically required. Strong communication, problem-solving abilities, and the capacity to collaborate with diverse client teams set standout consultants apart. These skills are crucial for delivering secure, scalable cloud solutions that meet client business objectives in a dynamic consulting environment.

How does a Deloitte Azure professional typically collaborate with clients and internal teams on cloud transformation projects?

As a Deloitte Azure professional, you'll work closely with both clients and multidisciplinary internal teams to design, implement, and optimize cloud solutions on Microsoft Azure. Collaboration often involves gathering client requirements, aligning technical solutions with business objectives, and working alongside specialists in areas such as cybersecurity, data analytics, and project management. Clear communication and a consultative approach are key, as you'll frequently facilitate workshops, provide technical guidance, and support clients through each phase of their cloud journey. This teamwork-driven environment not only enhances project outcomes but also offers valuable opportunities for learning and professional growth.

What is a Deloitte Azure professional?

A Deloitte Azure professional is a consultant or specialist who works at Deloitte and focuses on leveraging Microsoft Azure, a cloud computing platform, to help clients transform their business operations, migrate workloads to the cloud, and implement innovative solutions. These professionals combine expertise in Azure technologies with Deloitte’s consulting methodologies to deliver cloud strategy, architecture, migration, and managed services. They may work on projects involving cloud security, data analytics, application modernization, and more. Deloitte Azure professionals collaborate with clients to optimize their cloud investments and drive digital transformation.

What is the difference between Deloitte Azure vs Deloitte Cloud Engineer?

AspectDeloitte AzureDeloitte Cloud Engineer
CertificationsAzure certifications (e.g., AZ-104, AZ-303)Cloud certifications (e.g., AWS, Azure, GCP)
Work EnvironmentConsulting projects focused on Azure solutionsDesign, implement, and manage cloud infrastructure
Industry UsagePrimarily in consulting and enterprise solutionsAcross various industries, including finance, healthcare, and tech
Search & Comparison IntentUnderstanding roles focused on Azure cloud services at DeloitteExploring cloud engineering roles at Deloitte

Both Deloitte Azure and Deloitte Cloud Engineer roles involve cloud technology expertise, but Deloitte Azure is specifically focused on Azure cloud solutions and certifications, while Deloitte Cloud Engineer covers broader cloud platforms and infrastructure management. The choice depends on whether you want specialization in Azure or a more general cloud engineering role within Deloitte.

More about Deloitte Azure jobs
What states have the most Deloitte Azure jobs? States with the most job openings for Deloitte Azure jobs include:
What job categories do people searching Deloitte Azure jobs look for? The top searched job categories for Deloitte Azure jobs are:
Deloitte Azure jobs near you
Infographic showing various Deloitte Azure job openings in the United States as of June 2026, with employment types broken down into 99% Full Time, and 1% Part Time. Highlights an 78% Physical, 8% Hybrid, and 14% Remote job distribution, with an average salary of $121,476 per year, or $58.4 per hour.
Azure/Databricks Infrastructure Engineer

Azure/Databricks Infrastructure Engineer

Deloitte

Seattle, WA • On-site

$63.50 - $84.75/hr

Other

Posted 25 days ago

Deloitte rating

8.1

Company rating: 8.1 out of 10

Based on 86 frontline employees who took The Breakroom Quiz

58th of 138 rated financial services

Job description

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 06/15/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Qualifications:

Join Deloitte's AI & Engineering practice and help organizations modernize enterprise cloud and data platforms on Azure. As an Azure/Databricks Infrastructure Engineer, you will design, implement, and optimize secure, scalable Azure and Databricks environments that support analytics, AI, and enterprise data transformation. This role combines cloud infrastructure engineering, platform delivery, and architecture execution to help clients accelerate modernization and improve operational performance.

This role supports enterprise clients across cloud modernization, data platform transformation, analytics enablement, and operational optimization initiatives.

Recruiting for this role ends on 06/15/2026.

Work You'll Do

As an Azure/Databricks Infrastructure Engineer III on the AI & Engineering team, you will be responsible for...

  • Designing, building, and supporting Azure cloud infrastructure and Databricks platform environments for enterprise clients
  • Implementing Azure landing zones, networking, security controls, and scalable cloud architecture solutions across development, test, and production environments
  • Configuring and administering Databricks workspaces, clusters, Unity Catalog, governance capabilities, and platform security controls
  • Developing infrastructure as code solutions using Terraform, Bicep, and ARM templates, and automating deployments through Azure DevOps or GitHub Actions
  • Supporting cloud modernization, analytics, AI, and enterprise data transformation initiatives through architecture reviews, technical workshops, and delivery collaboration
  • Participate in architecture reviews, technical workshops, client discussions, and operational planning sessions
The Team

Our AI & Engineering practice delivers enterprise solutions across cloud infrastructure, data platforms, analytics, AI enablement, and digital transformation initiatives. We help organizations modernize legacy environments, optimize cloud operations, and scale secure, intelligent platforms that drive business value.
In this role, you will work at the intersection of cloud infrastructure, platform engineering, analytics modernization, DevOps automation, and enterprise data transformation.

Qualifications

Required:
Bachelor's degree in Computer Science, Engineering, Information Systems, Analytics, or related field
4+ years of experience in Azure cloud infrastructure, platform engineering, or enterprise transformation delivery
Strong hands-on experience with Azure networking, Landing Zones, cloud architecture, and infrastructure deployment
Experience administering and supporting Databricks environments including Unity Catalog, governance, and cluster management
Experience implementing Infrastructure as Code (Terraform, Bicep, ARM)
Experience developing and supporting CI/CD pipelines using Azure DevOps or GitHub Actions
Strong understanding of cloud security, networking, governance, and enterprise platform operations
Ability to travel 50%, on average, based on the work you do and the clients and industries/sectors you serve.
Limited immigration sponsorship may be available.
Preferred:
Experience supporting enterprise analytics, ETL, Snowflake, or modern data engineering ecosystems
Experience supporting AI/ML or advanced analytics infrastructure environments
Azure and/or Databricks certifications preferred
Experience working across hybrid cloud or enterprise modernization initiatives
Consulting experience supporting large-scale transformation programs

Wages + Salary

The wage range for this role takes into account the wide range of factors that are considered in making compensation decisions including but not limited to skill sets; experience and training; licensure and certifications; and other business and organizational needs. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. At Deloitte, it is not typical for an individual to be hired at or near the top of the range for their role and compensation decisions are dependent on the facts and circumstances of each case. A reasonable estimate of the current range is $116,200 to $229,100.

You may also be eligible to participate in a discretionary annual incentive program, subject to the rules governing the program, whereby an award, if any, depends on various factors, including, without limitation, individual and organizational performance.

Education:Bachelor's DegreeEmployment Type:

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