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DatabricksSpecialist Solutions Architect - Azure Infrastructure & AI Platform
Databricks, the data and artificial intelligence company utilized by over twenty thousand organizations globally, is hiring a Specialist Solutions Architect focused on Azure Infrastructure and AI…
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About This Role
Databricks, the data and artificial intelligence company utilized by over twenty thousand organizations globally, is hiring a Specialist Solutions Architect focused on Azure Infrastructure and AI Platforms. This position operates on a remote basis. The person in this role will act as a technical advisor to enterprise accounts, helping them navigate cloud infrastructure, platform administration, and deployment patterns for the Databricks Platform on Microsoft Azure. The professional chosen for this…
Job Description
Databricks, the data and artificial intelligence company utilized by over twenty thousand organizations globally, is hiring a Specialist Solutions Architect focused on Azure Infrastructure and AI Platforms. This position operates on a remote basis. The person in this role will act as a technical advisor to enterprise accounts, helping them navigate cloud infrastructure, platform administration, and deployment patterns for the Databricks Platform on Microsoft Azure. The professional chosen for this position will design and scale compute and networking environments tailored for generative AI applications, large language model deployments, and artificial intelligence workloads. Additionally, the candidate will coordinate cross-functional teams to resolve complex customer challenges, drive competitive technical wins, and share structured product feedback with internal teams.
Databricks supports more than seventy percent of the Fortune 500 alongside major global brands. The organization provides a unified platform encompassing technologies such as Unity Catalog, Lakehouse, Lakeflow, Genie, and Lakebase. This opportunity suits experienced technical professionals with a strong background in cloud architecture, pre-sales engineering, and distributed data systems who want to influence enterprise artificial intelligence adoption.
Responsibilities
- Advise strategic clients throughout the entire lifecycle of Databricks on Azure, covering initial design up to production deployment and administration.
- Design and scale compute and networking infrastructure specifically for artificial intelligence workloads, enterprise large language models, and generative AI applications.
- Act as a subject matter expert in Microsoft Azure infrastructure, identity management, cloud networking, and infrastructure-as-code.
- Secure technical victories in competitive scenarios by showcasing customized solutions built on Databricks.
- Coordinate cross-functional resources including partners and specialized solutions architects to address intricate client requirements.
- Provide structured feedback regarding market gaps and customer needs to influence product direction.
Requirements
- Accumulate at least six years of professional experience in solutions architecture, technical pre-sales, or a senior hands-on technical capacity.
- Demonstrate practical experience designing cloud infrastructure for artificial intelligence and machine learning execution, such as GPU or TPU accelerator configuration and scalable model serving.
- Possess advanced expertise in security, identity protocols, enterprise networking, platform administration, and infrastructure automation using tools like Terraform or Bicep.
- Show strong coding proficiency in Python and SQL with the capability to perform live coding, debugging, and solution creation.
- Demonstrate deep knowledge of distributed data systems architecture, streaming architectures, and lakehouse patterns.
- Display a willingness to travel up to thirty percent of the time.
Qualifications
- Hold a Bachelor's or Master's degree in Computer Science, Engineering, a quantitative field, or possess equivalent practical experience.
- Earn Databricks certifications such as Data Engineer, Machine Learning, or Platform.
- Achieve Microsoft Azure certifications including Azure Solutions Architect Expert or Azure Data Engineer.
- Bring familiarity with competitive platforms like Snowflake, AWS native services, or Azure Synapse.
- Possess a professional background originating from a cloud provider or a data and AI organization.
Core Skills
Benefits
- Annual performance bonus eligibility
- Equity opportunities
- Comprehensive benefits and perks tailored to regional needs
Frequently Asked Questions
Answers are based only on the employer’s listing; where it doesn’t say, neither do we.
Is this position remote?
Yes, the source posting explicitly states that this role can be remote.
What is the salary range for this role?
The expected salary range is USD 180,000 to 247,500 per year, though actual compensation depends on factors such as experience, location, and skills.
What level of travel is expected?
Candidates must be willing to travel up to 30 percent of the time as needed.
What is the interview process for this position?
The recruitment process includes a recruiter screen, hiring manager screen, design and architecture interview, live coding assessment, presentation, and reference check.
Sample Interview Questions
AI-generated questions tailored to this specific role — a preview of the full practice set.