Data Platform Infrastructure Architect

The Data Platform Architect will provide technical leadership for the design, implementation, automation, security, and evolution of our modern data and cloud infrastructure across Microsoft Azure and Databricks.

This role requires strong hands-on expertise in Terraform, Infrastructure as Code (IaC), Azure cloud infrastructure, Azure Databricks, networking, security, identity, CI/CD, and enterprise data platform architecture.

The architect will establish reusable infrastructure patterns and standards, guide engineering teams, and ensure our Azure and Databricks environments are secure, scalable, automated, supportable, governed, and cost-effective.

The role will 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., Cloud & Infrastructure Architecture

• 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.

Terraform & Infrastructure as Code

• 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.

• Bachelor’s Degree; Four (4) years additional professional experience may be substituted in lieu of degree.
• 6+ years of experience in cloud, infrastructure, data platform, or solution architecture.
• 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.
• Demonstrated ability to translate technical requirements into scalable architecture and reusable engineering patterns.

Critical / Must Have

Azure Databricks Infrastructure config experience

• Workspace architecture
• Unity Catalog
• Networking
• Identity/security
• Compute
• Storage integration
• Platform administration
• Deployment automation

Terraform hands-on experience

• Strong hands-on Terraform experience
• Terraform modules
• State management
• Variables and environment configuration
• AzureRM provider
• Databricks Terraform provider
• Infrastructure deployment through CI/CD
• Infrastructure-as-Code design patterns

Microsoft Azure Cloud infrastructure

• Azure infrastructure architecture (Storage ,Key Vault, Private connectivity, RBAC, Monitoring/observability, Security architecture)
• Networking
• Identity and access management

What Would Be Nice To Have:

Strongly Preferred

• Azure Data Lake Storage Gen2
• Azure Data Factory
• Microsoft Fabric
• Power BI architecture
• SQL
• Python/PySpark
• Delta Lake
• Lakeflow
• REST APIs
• Azure Monitor / Log Analytics
• Microsoft Entra ID
• Enterprise data governance
• Cloud FinOps / cost management

The annual salary range for this position is $113,000.00-$188,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs.

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• Medical, Rx, Dental & Vision Insurance
• Personal and Family Sick Time & Company Paid Holidays
• Position may be eligible for a discretionary variable incentive bonus
• Parental Leave and Adoption Assistance
• 401(k) Retirement Plan
• Basic Life & Supplemental Life
• Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts
• Short-Term & Long-Term Disability
• Student Loan PayDown
• Tuition Reimbursement, Personal Development & Learning Opportunities
• Skills Development & Certifications
• Employee Referral Program
• Corporate Sponsored Events & Community Outreach
• Emergency Back-Up Childcare Program
• Mobility Stipend

About Guidehouse

Guidehouse is an Equal Opportunity Employer-Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation.

Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco.