Specialist Solutions Architect - Cloud Platform & Infrastructure
Role details
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Tech stack
Job description
Serve as a technical advisor for enterprise Databricks deployments: design and deploy secure, scalable cloud platform architectures, support pre-sales PoCs, provide domain expertise in cloud, networking, identity, IaC and platform administration, and contribute to community enablement and training. The summary above was generated by AI
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.
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.
- [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.
Benefits & conditions
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 position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here. Local Pay Range $180,000-$247,500 USD, At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here., An Hour Ago Remote or Hybrid 45K-100K Annually Junior 45K-100K Annually Junior Artificial Intelligence * Fintech * Insurance * Marketing Tech * Software * Analytics Handle inbound and warm sales leads remotely, consult customers on Property & Casualty insurance needs, recommend coverage, close policies, complete paid licensing and training, and work assigned shift schedule. Wells Fargo
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