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 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.
About Databricks
Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook.
Benefits
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.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
Skills Required
- 5+ years hands-on experience in cloud platform architecture across AWS, Azure, or GCP, including cloud security and networking best practices.
- 2+ years professional experience with distributed architectures and big data technologies (Apache Spark, Hadoop, Kafka).
- 2+ years experience in a customer-facing technical role (Pre-Sales, Post-Sales, or Consulting).
- Deep specialized expertise in at least one domain: Security & Identity, Networking & Deployments, Platform Administration, or Infrastructure Automation (InfraOps).
- Hands-on experience with Infrastructure-as-Code and automation (e.g., Terraform).
- Hands-on programming experience with Python, Java, or Scala, and strong proficiency in SQL.
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent practical experience.
- Willingness to travel up to 30% as needed.
- Ability to meet role-specific training and technical delivery milestones within the first 6 months.
- Relevant Databricks certifications (Databricks Certified Solutions Architect, Data Engineer, or Platform Administrator).
Databricks Compensation & Benefits Highlights
The following summarizes recurring compensation and benefits themes identified from responses generated by popular LLMs to common candidate questions about Databricks and has not been reviewed or approved by Databricks.
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Equity Value & Accessibility — Equity grants are a meaningful part of offers, and periodic tender opportunities and secondary options have made private equity more tangible for many employees. This perceived upside contributes to strong total-compensation sentiment in key roles.
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Healthcare Strength — Comprehensive medical, dental, and vision coverage is paired with mental‑health resources and wellness reimbursements, indicating a robust health package. Multiple summaries highlight broad coverage that employees can practically use.
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Leave & Time Off Breadth — Generous PTO, paid holidays/sick time, and fully paid parental leave are frequently described, with hybrid/remote flexibility common in the U.S. These policies expand time‑off accessibility across different life stages.
Databricks Insights
What We Do
As the leader in Unified Data Analytics, Databricks helps organizations make all their data ready for analytics, empower data science and data-driven decisions across the organization, and rapidly adopt machine learning to outpace the competition. By providing data teams with the ability to process massive amounts of data in the Cloud and power AI with that data, Databricks helps organizations innovate faster and tackle challenges like treating chronic disease through faster drug discovery, improving energy efficiency, and protecting financial markets.
