Specialist Solutions Architect - Cloud Infrastructure & Azure Platform

FEQ427R143

As an   Infrastructure & 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.

The impact you will have

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

What We Look For

6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role

Advanced expertise across the following areas:

Security & Identit y: 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

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

Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences

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

Nice to Have

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

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 …