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DatabricksDatabricksUnited States

Specialist Solutions Architect - GCP Infrastructure

Guide customers on Databricks administration and security on GCP. Architect production deployments, provide technical leadership, and support pre/post-sales activities. Requires 5+ years GCP expertise and 2+ years big data experience.

180k – 248k/yr
Remote5+ YOESolutions Architecture

About the role

Responsibilities

  • Provide technical leadership to guide strategic customers to the successful administration of Databricks, ranging from design to deployment.
  • Architect production-level deployments, including meeting necessary security and networking requirements.
  • Become a technical expert in an area such as cloud platforms, automation, security, networking, or identity management.
  • Assist Solution Architects with more advanced aspects of the technical sales process, including custom proof-of-concept content and custom architectures.
  • Provide tutorials and training to improve community adoption (including hackathons and conference presentations).
  • Contribute to the Databricks Community.

Requirements

  • 5+ years of experience in a technical role with deep expertise in GCP platform architecture, including cloud security, networking best practices, and designing data platforms on cloud infrastructure.
  • 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 management (Provisioning, SCIM, OAuth, SAML, Federation).
    • Networking & Deployments: Architecture design, implementation, performance optimization, and managing complex, enterprise-scale cloud deployments.
    • Platform Administration: High availability, disaster recovery, cluster management, observability (logging, monitoring, audit), and cost management.
    • Infrastructure Automation (InfraOps): Hands-on deployment using IaC tools like Terraform to maintain and extend complex environments (including Databricks) as technical needs evolve.
  • Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical work experience.
  • 2+ years of professional experience with big data technologies (e.g., Spark, Hadoop, Kafka) and distributed architectures.
  • Hands-on experience with Python, Java, or Scala, and proficiency in SQL.
  • 2+ years of experience in a pre-sales or post-sales technical role.
  • Ability to meet expectations for technical training and role-specific outcomes within 6 months of hire.
  • Willingness to travel up to 30% as needed.

Nice-to-Haves

  • (none explicitly listed)

Skills

GCPTerraformPythonJavaScalaSQLSparkHadoopKafkaInfrastructure As Code
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