Sr. Specialist Solutions Architect - Cloud Platform & Infrastructure (GCP

FEQ
327R420

As an Infrastructure & Platform Specialist Solutions Architect (SSA) – GCP, you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, administration, and security of their Databricks deployments on Google Cloud Platform (GCP).

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 GCP cloud infrastructure, network security, and automated deployments.

This role can be remote.

• Technical Leadership:
  Guide strategic customers through the full lifecycle of Databricks on GCP platform administration from initial architectural design to production deployment.
• Production-Grade Architecture:
  Architect secure, scalable enterprise deployments that satisfy complex GCP networking (VPCs, Private Service Connect), identity (Google Cloud Identity/IAM), and security compliance standards.
• Domain Expertise:
  Serve as a subject matter expert in core areas such as GCP infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management.
• Pre-Sales
  
  Collaboration:
  
  Support Solutions Architects during complex technical sales cycles by building custom proof-of-concept (PoC) architectures and technical content on GCP.
• Community & Knowledge Sharing:
  Expand platform adoption by delivering tutorials, conducting hackathons, speaking at conferences, and contributing to the Databricks open-source community.

• 8+ years of hands‑on experience in a technical role with deep expertise in GCP, including cloud security, networking best practices, and enterprise data platform design.
• 5+ years of professional experience with distributed architectures and big data technologies (e.g., Apache Spark™, Hadoop, Kafka).
• 5+ 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: GCP security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols (Google Cloud Identity / IAM, Workload Identity Federation, OAuth, SAML).
• Networking & Deployments: GCP enterprise networking (VPC peering, Cloud Interconnect, Private Service Connect, Private Google Access), network routing, performance optimization, and large-scale deployment management.
• Platform Administration:
  High availability, disaster recovery, cluster orchestration, observability (Google Cloud Monitoring, Cloud Logging), and GCP cost management.
• Infrastructure Automation (Infra Ops):
  Hands‑on automation using IaC tools (e.g., Terraform, Deployment Manager) to build, maintain, and scale complex GCP 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] Databricks certifications and/or Google Cloud certifications (e.g., Professional Cloud Architect, Professional Data Engineer, Professional Cloud Security Engineer).
• Ability to hit role-specific training and technical delivery milestones within the first 6 months.
• Willingness to travel up to 30% as needed.

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…