Specialist Solutions Architect - Cloud Infrastructure & Platform (AWS)

FEQ427R143

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

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 AWS cloud infrastructure, network security, and automated deployments. This role can be remote.

This role can be remote.

• Technical Leadership: Guide strategic customers through the full lifecycle of Databricks on AWS platform administration from initial architectural design to production deployment.
• Production-Grade Architecture: Architect secure, scalable enterprise deployments that satisfy complex AWS networking (VPCs, PrivateLink), identity (AWS IAM / AWS IAM Identity Center), and security compliance standards.
• Domain Expertise: Serve as a subject matter expert in core areas such as AWS 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 AWS.
• Community & Knowledge Sharing: Expand platform adoption by delivering tutorials, conducting hackathons, speaking at conferences, and contributing to the Databricks open-source community.

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.

Local Pay Range $180,000—$247,500 USD

• 5+ years of hands-on experience in a technical role with deep expertise in Amazon Web Services (AWS), 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).

Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.

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.

Applicant Privacy Notice