Specialist Solutions Architect - Cloud Platform & Infrastructure

FEQ327R691 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. 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 areas like cloud infrastructure, network security, and automated deployments. This role can be remote.  The impact you will have: - Technical Leadership: Guide strategic customers through the full lifecycle of Databricks platform administration—from initial architectural design to production deployment. - Production-Grade Architecture: Architect secure, scalable enterprise deployments that satisfy complex cloud networking, identity, and security compliance standards. - Domain Expertise: Serve as a subject matter expert in core areas such as major cloud infrastructure (AWS, Azure, GCP), infrastructure-as-code (IaC), networking, or identity management. - Pre-Sales Collaboration: Support Solutions Architects during complex technical sales cycles by building custom proof-of-concept (PoC) architectures and technical content. - 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: - 5+ years of hands-on experience in a technical role with deep expertise in cloud platform architecture across AWS, Azure, or GCP, including cloud security, networking best practices, and enterprise data platform design - 2+ years of professional experience with distributed architectures and big data technologies (e.g., Apache Spark™, Hadoop, Kafka). - 2+ 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: Platform, network, data, and GenAI/model security; encryption; vulnerability management; compliance; and identity protocols (SCIM, OAuth, SAML, Federation). - Networking & Deployments: Enterprise cloud architecture design, network routing, performance optimization, and large-scale deployment management. - Platform Administration: High availability, disaster recovery, cluster orchestration, observability (logging, monitoring, auditing), and cloud cost management. - Infrastructure Automation (InfraOps): Hands-on automation using IaC tools (e.g., Terraform) to build, maintain, and scale complex cloud 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] Relevant Databricks Certifications (e.g., Databricks Certified Solutions Architect, Data Engineer, or Platform Administrator). - 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. Based on the factors above, Databricks anticipates utilizing the full width of