Specialist Solutions Architect - Azure Infrastructure & AI Platform

Databricks; California City (CA); Remote; USD 180,000 - 240,000; Full time

Job summary

Databricks is seeking an Infrastructure & Platform Specialist Solutions Architect (SSA) to guide enterprise customers through Databricks deployments on Microsoft Azure, from design to production. The role can be remote, with travel up to 30% as needed.

You will architect secure, scalable deployments, advise on infrastructure, networking, identity, and security, and work with cross-functional teams to deliver comprehensive solutions. Strong Python/SQL skills and cloud experience are required.

Qualifications

• Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience).
• Willingness to travel up to 30%.
• Databricks certifications (Data Engineer, ML, Platform).
• Microsoft Azure certifications (Azure Solutions Architect Expert, Azure Data Engineer).
• Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse).

Responsibilities

• Guide strategic customers through the full lifecycle of Databricks on Azure, from architectural design to production deployment.
• Architect secure, scalable enterprise deployments meeting Azure networking, identity, and security standards.
• Lead architecture discussions with senior technical stakeholders using whiteboarding and design reviews.
• Orchestrate cross-functional resources to deliver complex customer solutions and drive platform adoption.

Education

Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline

Job description

FEQ427R143 As anInfrastructure & Platform Specialist Solutions Architect (SSA), you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on Microsoft Azure. You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy.

This role can be remote.

Guide strategic customers through the full lifecycle of Databricks on Azure, including platform administration, from initial architectural design to production deployment

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

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

Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions

Orchestrate cross-functional resources (DSAs, SAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs

Influence product direction by providing structured feedback on customer requirements and competitive gaps

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
• Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills

Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms

Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)

Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis

Track record of driving platform adoption and consumption growth within accounts

Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Willingness to travel up to 30% as needed

Databricks certifications (Data Engineer, ML, Platform)

Microsoft Azure certifications (Azure Solutions Architect Expert, Azure Data Engineer)

Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against

Background in a data/AI company or cloud provider

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. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. Local Pay Range

$About Databricks

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. Our Commitment to Diversity and Inclusion

At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.

If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.