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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 09/01/2026. 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.
Here's how to pick the right one and stand out in your application.
144.883Jobs
31.687IN
81%EN
That number is real. WorkMundi's database shows 144,883 open engineer roles across the world. India has the most with 31,687 jobs, followed by the United States with 30,084. If you just finished reading one job ad and felt paralyzed by choice, you're not alone—but this scale is actually an advantage. It means you can afford to be selective.
Start by geography and language. The majority of engineer ads—117,837 of them—have the job posting text written in English. Use that as one filter, but remember: the ad text language tells you nothing about whether the role actually requires you to speak English day-to-day. Read the job description carefully. Then check which countries have the volume you're targeting. Singapore, Poland, and Australia round out the top five after India and the US.
Next, learn who's hiring. Accenture has posted 2,801 engineer roles. andurilindustries, speechify, and jobgether are also actively recruiting. If you're applying to one of these names, research their hiring patterns and interview style before you apply. That homework pays off.
When you interview, expect the question every engineer hears: 'Tell me about a time you had to debug a problem that wasn't in your job description.' Have a specific story ready—not a general one. Name the tools, the deadline pressure, and what you learned. Hiring managers listen for whether you see problem-solving as part of the role itself, not a favour.