Specialist Solutions Architect - Azure Infrastructure & AI Platform
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will serve as a trusted technical advisor, guiding enterprise customers through the architecture, cloud infrastructure and AI deployment patterns of their Databricks Platform on Microsoft Azure. You will architect compute and networking for AI workloads, act as an Azure subject matter expert, drive technical wins and influence product direction.
Requirements
- 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role
- Hands-on experience architecting cloud infrastructure for AI/ML execution
- Advanced expertise in security and identity, networking, platform administration and infrastructure automation (Terraform, Bicep, ARM)
- Strong Python and SQL coding proficiency
- Deep expertise in distributed data systems architecture
- Proficiency on the Databricks Platform or ability to achieve it rapidly
- Ability to lead architecture discussions with senior stakeholders
- Track record of driving platform adoption
- Excellent communication skills
- Bachelor's or Master's degree in Computer Science, Engineering, or quantitative discipline (or equivalent experience)
- Willingness to travel up to 30%
Responsibilities
- Guide strategic customers through the full lifecycle of Databricks on Azure, from architectural design to production deployment
- Architect and scale compute and networking infrastructure for AI workloads, enterprise LLM deployments and GenAI applications
- Serve as subject matter expert in Azure infrastructure, IaC, cloud networking and identity management
- Drive technical wins in competitive scenarios
- Orchestrate cross-functional resources to deliver solutions
- Provide structured feedback to influence product direction
Benefits
- Remote work option
- Annual performance bonus eligibility
- Equity eligibility
Hiring Process
Recruiter Screen → Hiring Manager Screen → Design and Architecture Interview → Live Coding Assessment → Presentation → Reference Check