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.
Requirements
- 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.
- Ability to hit role-specific training and technical delivery milestones within the first 6 months.
- Willingness to travel up to 30% as needed.
Nice-to-Haves
- Relevant Databricks Certifications (e.g., Databricks Certified Solutions Architect, Data Engineer, or Platform Administrator).