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Guidehouse

Advises agencies and runs regulated operations

Data Platform Infrastructure Architect

Cloud EngineeringPosted on Nov 11
Full-timeMcLean, VA, USAIn-person

About the Job

Requirements

  • A bachelor's degree is required; four additional years of professional experience may be substituted in lieu of the degree.
  • At least 6 years of experience in cloud, infrastructure, data platform, or solution architecture.
  • At least 3 years of hands-on Azure architecture experience.
  • Strong hands-on experience implementing infrastructure using Terraform.
  • Strong Azure Databricks architecture and administration experience.
  • Experience implementing enterprise Infrastructure as Code.
  • Experience designing secure cloud networking and identity solutions.
  • Experience implementing CI/CD pipelines for infrastructure and platform deployments.
  • Experience working with enterprise security, infrastructure, DevOps, and data engineering teams.
  • Ability to translate technical requirements into scalable architecture and reusable engineering patterns.
  • Experience with Azure Databricks workspace architecture, Unity Catalog, networking, identity and security, compute, storage integration, platform administration, and deployment automation.
  • Hands-on Terraform experience, including Terraform modules, state management, variables and environment configuration, the AzureRM provider, the Databricks Terraform provider, infrastructure deployment through CI/CD, and Infrastructure-as-Code design patterns.
  • Experience with Microsoft Azure cloud infrastructure architecture, including storage, Key Vault, private connectivity, role-based access control, monitoring and observability, security architecture, networking, and identity and access management.

Responsibilities

  • Provide technical leadership for the design, implementation, automation, security, and evolution of modern data and cloud infrastructure across Microsoft Azure and Databricks.
  • Establish reusable infrastructure patterns and standards, guide engineering teams, and ensure Azure and Databricks environments are secure, scalable, automated, supportable, governed, and cost-effective.
  • Work closely with Data Engineering, Cloud/Infrastructure, Security, DevOps, Architecture, Analytics, and application teams to support the organization's modern data platform and NGDS initiatives.
  • Design and maintain enterprise architecture for Azure and Azure Databricks environments.
  • Define scalable infrastructure patterns across Development, Test, QA/UAT, and Production environments.
  • Design Azure networking, connectivity, identity, security, storage, compute, and platform services.
  • Establish architecture standards for cloud infrastructure supporting data and analytics workloads.
  • Develop reference architectures and reusable platform patterns.
  • Ensure solutions align with enterprise security, networking, governance, availability, and disaster-recovery requirements.
  • Participate in architecture reviews and provide technical recommendations for new solutions.
  • Design and implement cloud infrastructure using Terraform.
  • Develop reusable Terraform modules for Azure and Databricks resources.
  • Establish Infrastructure as Code standards, patterns, and engineering practices.
  • Manage configuration and deployment differences across Development, Test, QA/UAT, and Production.
  • Implement remote state management, module versioning, environment configuration, and controlled infrastructure promotion.
  • Automate provisioning of Azure and Databricks platform components.
  • Integrate Terraform deployments with GitHub-based CI/CD pipelines.
  • Implement code review, testing, approval, and controlled promotion processes for infrastructure changes.
  • Minimize manual infrastructure configuration and configuration drift.

Desired Qualifications

  • Experience with Azure Data Lake Storage Gen2, Azure Data Factory, Microsoft Fabric, Power BI architecture, SQL, Python/PySpark, Delta Lake, Lakeflow, REST APIs, Azure Monitor or Log Analytics, Microsoft Entra ID, enterprise data governance, and cloud FinOps or cost management.
  • Certifications such as Microsoft Certified: Azure Solutions Architect Expert, Microsoft Certified: DevOps Engineer Expert, HashiCorp Certified: Terraform Associate, or Databricks certifications in data engineering or platform-related areas.

About the Company

Guidehouse

Advises agencies and runs regulated operations

Guidehouse advises government agencies and companies in regulated industries on strategy, technology and day-to-day operations. Its work combines business advice with software implementation and ongoing management, so a client uses the same firm to plan a change, build the systems and run the resulting processes. Teams modernize cloud platforms, apply data analysis and artificial intelligence, and redesign organizations to meet operating and regulatory requirements. Clients pay for consulting projects and technology work or outsource continuing business functions to its managed services teams. Guidehouse was founded in 2018 and is headquartered in McLean, Virginia.

Company size
10,001+
Company stage
Acquired
Total funding
$750K
Headquarters
McLean, VA
Founded
2018

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