Remote Azure Engineer Jobs
Remote Azure Engineer jobs are in active demand across the U.S., with remote-first firms and distributed teams hiring across technology, financial services, and healthcare. Employers hiring remotely right now include Invoice Cloud, Akima, and Cognizant. Find a role that fits below and apply directly.
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About Lumenalta
At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact, empowering every team member to do their best work.
About the Role
We are looking for a Senior Azure Databricks Engineer to lead the design and delivery of modern enterprise data platforms for our clients. In this role, you will own the architecture and implementation of lakehouse platforms on Databricks and Azure, from governance and infrastructure to pipelines and production operations. You will set the technical direction for the platform, establish the standards the rest of the team builds on, and serve as the trusted technical voice for client stakeholders. This is a hands-on role for an engineer who brings software engineering discipline to data platform work and who wants real ownership of what gets built.
What You'll Be Doing
- Platform architecture and ownership. Lead end-to-end architecture for enterprise lakehouse platforms on Databricks and Azure, owning design decisions across storage, compute, governance, security, and cost, and documenting them so they hold up as the platform grows.
- Governance and security. Design and implement Unity Catalog strategies, including catalog and schema structure, access control models, lineage and data sharing, aligned with client security and compliance requirements.
- Pipeline engineering. Architect and build scalable batch and streaming pipelines in Python, PySpark, and SQL using Delta Lake and Lakeflow, including change data capture and medallion layering.
- Engineering standards. Define and enforce best practices for testing with PyTest, code review, Git based workflows, and CI/CD, and package platform assets with Databricks Asset Bundles so deployments are repeatable and auditable.
- Infrastructure as code. Own Terraform-based provisioning of Databricks workspaces and Azure resources, including ADLS Gen2, Microsoft Entra ID, and Key Vault, so every environment is reproducible from code.
- Performance and cost. Tune distributed workloads, choose the right compute model for each workload, and put cost monitoring and controls in place.
- Technical leadership. Mentor engineers, review architecture and code, and raise the technical bar of the delivery team.
- Client partnership. Act as the senior technical point of contact for client stakeholders, translating business goals into platform roadmaps, presenting architecture recommendations, and communicating risks and trade-offs clearly.
What We're Looking For
- 7+ years of professional experience in data engineering, software engineering, or data platform roles, with at least 3 years of hands-on Databricks work in production.
- Demonstrated experience as a solution architect, technical lead, or data platform owner on one or more enterprise Databricks implementations.
- Expert-level Python, PySpark, and SQL, with a consistent practice of automated testing using PyTest.
- Deep, hands-on experience with Delta Lake, Unity Catalog, Databricks Asset Bundles, and Lakeflow Jobs.
- Production experience with Terraform for provisioning Azure and Databricks infrastructure.
- Strong Azure experience, particularly ADLS Gen2, Microsoft Entra ID, and Azure networking, including secure access patterns between Azure and Databricks.
- Proven experience building and maintaining CI/CD pipelines and Git based development workflows for data platforms.
- Advanced English and the ability to communicate technical decisions clearly to engineers and executive stakeholders in a distributed, remote team.
- Based in a location that allows full overlap with US business hours.
Nice to Have
- Experience designing lakehouse architectures at enterprise scale, including multi-workspace and multi-environment setups.
- A track record of optimizing distributed workloads for performance and cost, including serverless compute and liquid clustering.
- Consulting or client-facing delivery experience, ideally in finance, aerospace, e-commerce, or logistics.
- Experience implementing data governance, security, and lineage frameworks in regulated environments.
- Hands-on experience with Azure Data Factory, including pipelines, triggers, and integration runtimes, or migrating Data Factory workloads to Databricks.
- Databricks Certified Data Engineer Professional, and ideally additional certifications such as Microsoft Certified: Azure Solutions Architect Expert.
- A degree in Computer Science, Engineering, or a related field; a Master's degree is a plus.
Why Lumenalta is an amazing place to work at
At Lumenalta, you can expect that you will:
- Be 100% dedicated to one project at a time so that you can innovate and grow.
- Be a part of a team of talented and friendly senior-level developers.
- Work on projects that allow you to use leading tech.
Location
This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.
Application Deadline
Applications will be accepted until November 22nd, 2026. Candidates can expect feedback by November 30th, 2026.
About Lumenalta
At Lumenalta, we partner with forward-thinking organizations to build technology solutions that scale, delight users, and accelerate business growth. Our global teams bring curiosity, commitment, and technical excellence to every project. We value transparency, autonomy, and impact, empowering every team member to do their best work.
About the Role
We are looking for a Senior Azure Databricks Engineer to lead the design and delivery of modern enterprise data platforms for our clients. In this role, you will own the architecture and implementation of lakehouse platforms on Databricks and Azure, from governance and infrastructure to pipelines and production operations. You will set the technical direction for the platform, establish the standards the rest of the team builds on, and serve as the trusted technical voice for client stakeholders. This is a hands-on role for an engineer who brings software engineering discipline to data platform work and who wants real ownership of what gets built.
What You'll Be Doing
- Platform architecture and ownership. Lead end-to-end architecture for enterprise lakehouse platforms on Databricks and Azure, owning design decisions across storage, compute, governance, security, and cost, and documenting them so they hold up as the platform grows.
- Governance and security. Design and implement Unity Catalog strategies, including catalog and schema structure, access control models, lineage and data sharing, aligned with client security and compliance requirements.
- Pipeline engineering. Architect and build scalable batch and streaming pipelines in Python, PySpark, and SQL using Delta Lake and Lakeflow, including change data capture and medallion layering.
- Engineering standards. Define and enforce best practices for testing with PyTest, code review, Git based workflows, and CI/CD, and package platform assets with Databricks Asset Bundles so deployments are repeatable and auditable.
- Infrastructure as code. Own Terraform-based provisioning of Databricks workspaces and Azure resources, including ADLS Gen2, Microsoft Entra ID, and Key Vault, so every environment is reproducible from code.
- Performance and cost. Tune distributed workloads, choose the right compute model for each workload, and put cost monitoring and controls in place.
- Technical leadership. Mentor engineers, review architecture and code, and raise the technical bar of the delivery team.
- Client partnership. Act as the senior technical point of contact for client stakeholders, translating business goals into platform roadmaps, presenting architecture recommendations, and communicating risks and trade-offs clearly.
What We're Looking For
- 7+ years of professional experience in data engineering, software engineering, or data platform roles, with at least 3 years of hands-on Databricks work in production.
- Demonstrated experience as a solution architect, technical lead, or data platform owner on one or more enterprise Databricks implementations.
- Expert-level Python, PySpark, and SQL, with a consistent practice of automated testing using PyTest.
- Deep, hands-on experience with Delta Lake, Unity Catalog, Databricks Asset Bundles, and Lakeflow Jobs.
- Production experience with Terraform for provisioning Azure and Databricks infrastructure.
- Strong Azure experience, particularly ADLS Gen2, Microsoft Entra ID, and Azure networking, including secure access patterns between Azure and Databricks.
- Proven experience building and maintaining CI/CD pipelines and Git based development workflows for data platforms.
- Advanced English and the ability to communicate technical decisions clearly to engineers and executive stakeholders in a distributed, remote team.
- Based in a location that allows full overlap with US business hours.
Nice to Have
- Experience designing lakehouse architectures at enterprise scale, including multi-workspace and multi-environment setups.
- A track record of optimizing distributed workloads for performance and cost, including serverless compute and liquid clustering.
- Consulting or client-facing delivery experience, ideally in finance, aerospace, e-commerce, or logistics.
- Experience implementing data governance, security, and lineage frameworks in regulated environments.
- Hands-on experience with Azure Data Factory, including pipelines, triggers, and integration runtimes, or migrating Data Factory workloads to Databricks.
- Databricks Certified Data Engineer Professional, and ideally additional certifications such as Microsoft Certified: Azure Solutions Architect Expert.
- A degree in Computer Science, Engineering, or a related field; a Master's degree is a plus.
Why Lumenalta is an amazing place to work at
At Lumenalta, you can expect that you will:
- Be 100% dedicated to one project at a time so that you can innovate and grow.
- Be a part of a team of talented and friendly senior-level developers.
- Work on projects that allow you to use leading tech.
Location
This is a fully remote position; however, candidates must be based in regions that align with the Pacific, Central or Eastern U.S. time zones to ensure effective collaboration with client and team schedules.
Application Deadline
Applications will be accepted until November 22nd, 2026. Candidates can expect feedback by November 30th, 2026.
See All 39 Remote Azure Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Azure Engineer JobsRemote Azure Engineer Job Market
Who's Hiring
Top Industries Hiring
- Technology & Software
- Insurance
- Banking & Financial Services
What Employers Look For
The qualifications that appear most often in remote azure engineer jobs.
- Proficiency with core Azure services including Compute, Networking, Storage, and Identity
- Hands-on experience with infrastructure as code using Terraform, Bicep, or ARM templates
- Microsoft Certified: Azure Administrator Associate (AZ-104) or Azure Solutions Architect Expert (AZ-305)
- Experience configuring Azure Active Directory, role-based access control, and security policies
- Familiarity with CI/CD pipelines using Azure DevOps or GitHub Actions
- Bachelor's degree in computer science, information systems, or a related technical field
Tips for Your Remote Azure Engineer Job Search
Apply early to remote roles that fit
Migrate Mate lists remote azure engineer openings from across the U.S. in one place, so you can find roles that match your skills and apply directly without sorting through non-remote listings mixed in elsewhere.
Document your async communication style
Remote azure engineer teams rely on written runbooks, incident post-mortems, and architecture decision records. Show samples of these in your application materials to prove you can operate without real-time back-and-forth.
Build a public Azure project portfolio
Remote employers can't see you work, so make your work visible. Deploy real infrastructure on Azure, publish the Terraform or Bicep code, and write a short README explaining the design decisions and tradeoffs you made.
Prepare for infrastructure-focused remote interviews
Remote azure engineer interviews often include live troubleshooting scenarios over screen share and questions about how you handle outages without immediate team support. Practice walking through Azure Monitor alerts, diagnostic logs, and rollback steps out loud.
Remote Azure Engineer Jobs: Frequently Asked Questions
How do I get a remote azure engineer job?
Remote azure engineer roles go to candidates who demonstrate they can deliver infrastructure work without in-person oversight. Employers screen for hands-on Azure certifications (AZ-104, AZ-305), experience with infrastructure-as-code tools like Terraform or Bicep, and strong written communication for async collaboration. What gives you an edge remotely is a documented history of independent project delivery and clear incident documentation that shows you work well without a manager nearby.
Which companies hire remote azure engineers?
Companies hiring remote azure engineers right now include Invoice Cloud, Akima, and Cognizant, based on current remote listings on Migrate Mate as of November 2026. Remote-first technology firms, distributed consulting practices, and cloud-native SaaS companies account for the largest share of these openings.
Can you get a remote azure engineer job with no experience?
Yes, but remote entry-level azure engineer roles are harder to land because employers expect you to troubleshoot independently from day one. Your strongest substitute for experience is a portfolio of personal or lab-based Azure projects, earned certifications like AZ-900 or AZ-104, and evidence you can communicate technical decisions clearly in writing. Managed service providers and smaller remote-first teams are the most likely to hire entry-level candidates remotely.
Do you need a degree for remote azure engineer jobs?
Not always. Remote employers weigh Azure certifications, demonstrated cloud architecture skills, and a verifiable project history more heavily than a formal degree for this role. Many remote hiring managers review GitHub repositories, infrastructure documentation, and past deployment work as primary evidence of readiness. A degree helps at larger enterprises, but it rarely overrides strong hands-on credentials in remote hiring.
Which industries hire the most remote azure engineers?
Most remote azure engineer openings sit in Technology & Software, Insurance, and Banking & Financial Services, per current remote listings on Migrate Mate as of November 2026. These sectors rely on distributed engineering teams that manage cloud infrastructure across multiple time zones, which makes remote azure engineers a natural fit.
See All 39 Remote Azure Engineer Jobs
Find roles that match your experience and apply in just a few clicks.
Find Remote Azure Engineer Jobs