# Specialist Solutions Architect - Cloud Infrastructure & Platform (Azure)

**Company**: Databricks
**Location**: United States
**Work arrangement**: remote
**Experience**: senior
**Job type**: full-time
**Salary**: $219,100-$301,300 USD
**Category**: IT
**Industry**: Technology
**Wikidata**: https://www.wikidata.org/wiki/Q18350420

**Apply**: https://job-boards.greenhouse.io/databricks/jobs/8739507002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply
**Canonical**: https://yubhub.co/jobs/job_59233006-b69

## Description

As an Infrastructure & Platform Specialist Solutions Architect (SSA) – Azure, you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on Microsoft Azure.

In this customer-facing position, you will partner closely with Solutions Architects to design and deploy mission-critical workloads, aligning customers' technical roadmaps with the full capabilities of the Databricks Data Intelligence Platform.

As a subject matter expert reporting to the Specialist Field Engineering Manager, you will continuously sharpen your skills through hands-on mentorship, internal training, and continuous learning in Azure cloud infrastructure, network security, and automated deployments.

The impact you will have:

- Technical Leadership: Guide strategic customers through the full lifecycle of Databricks on Azure platform administration from initial architectural design to production deployment.

- Production-Grade Architecture: Architect secure, scalable enterprise deployments that satisfy complex Azure networking (VNets, Private Endpoints), identity (Microsoft Entra ID), and security compliance standards.

- Domain Expertise: Serve as a subject matter expert in core areas such as Microsoft Azure infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management.

- Pre-Sales Collaboration: Support Solutions Architects during complex technical sales cycles by building custom proof-of-concept (PoC) architectures and technical content on Azure.

- Community & Knowledge Sharing: Expand platform adoption by delivering tutorials, conducting hackathons, speaking at conferences, and contributing to the Databricks open-source community.

What we look for:

- 8+ years of hands-on experience in a technical role with deep expertise in Microsoft Azure, including cloud security, networking best practices, and enterprise data platform design.

- 5+ years of professional experience with distributed architectures and big data technologies (e.g., Apache Spark, Hadoop, Kafka).

- 5+ years of experience in a customer-facing technical role (Pre-Sales, Post-Sales, or Consulting).

- Deep specialized expertise in at least one of the following core domains:

- Security & Identity: Azure security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols (Microsoft Entra ID / SCIM, OAuth, SAML, Federation).

- Networking & Deployments: Azure enterprise networking (VNet peering, ExpressRoute, Private Link), network routing, performance optimization, and large-scale deployment management.

- Platform Administration: High availability, disaster recovery, cluster orchestration, observability (Azure Monitor, Log Analytics), and Azure cost management.

- Infrastructure Automation (InfraOps): Hands-on automation using IaC tools (e.g., Terraform, Bicep, ARM) to build, maintain, and scale complex Azure environments.

- Hands-on experience with Python, Java, or Scala, alongside strong proficiency in SQL.

- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical work experience.

- [Nice to have] Databricks certifications and/or Microsoft Azure certifications (e.g., Azure Solutions Architect Expert, Azure Data Engineer).

- Ability to hit role-specific training and technical delivery milestones within the first 6 months.

- Willingness to travel up to 30% as needed.

Pay Range Transparency Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location.

Local Pay Range $219,100-$301,300 USD

## Skills

### Required
- Microsoft Azure
- cloud security
- networking best practices
- enterprise data platform design
- distributed architectures
- big data technologies
- Apache Spark
- Hadoop
- Kafka
- Python
- Java
- Scala
- SQL
- Terraform
- Bicep
- ARM

### Nice to have
- Databricks certifications
- Microsoft Azure certifications

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Source: [Apply at job-boards.greenhouse.io](https://job-boards.greenhouse.io/databricks/jobs/8739507002?utm_source=yubhub.co&utm_medium=jobs_feed&utm_campaign=apply)