Specialist Solutions Architect - AWS Infrastructure & Platform
Serve as a trusted technical advisor guiding enterprise customers in deploying Databricks on AWS.
Posted by employer 1 month ago
First seen on Joblaze 1 month ago
Last verified on the company career page 1 day ago
Skills & Technologies
Requirements
- Experience
- 5+ years
- Education
- Bachelor's degree
Not disclosed in this posting: visa sponsorship.
Joblaze summary
In the role of Specialist Solutions Architect for Cloud Infrastructure & Platform at Databricks, the individual will guide enterprise clients in deploying and managing Databricks solutions on AWS, ensuring secure and scalable architectures. Key skills include deep expertise in AWS services, cloud security, and experience with big data technologies like Apache Spark and Hadoop. This position is ideal for seasoned professionals with a strong technical background and customer-facing experience, particularly those who thrive in collaborative environments. The role emphasizes continuous learning and community engagement, reflecting Databricks' commitment to innovation.
Joblaze insights
- Listed about a month ago — first seen on Joblaze August 22, 2026. Last confirmed on Databricks's careers page October 7, 2026.
- Salary band is above the typical range for comparable tech roles (median ~$127,000).
- Starts above 83% of 322 comparable senior other roles that list Python we track (median $150,000 across 63 companies). See Python salary trends
- Python appears in 14.5% of 4076 comparable senior other roles; Hadoop appears in 0.1% of 4076 comparable senior other roles.
Quick facts
- Is the Specialist Solutions Architect - AWS Infrastructure & Platform role remote?
- Yes — Databricks lists this as a fully remote position.
- What's the salary range?
- Databricks lists $180,000–$247,500 for this role.
- How much experience is required?
- At least 5 years of relevant experience for this Specialist Solutions Architect - AWS Infrastructure & Platform role.
- What's the tech stack?
- Joblaze extracted these technologies from the posting: AWS, AWS CDK, AWS CloudFormation, Apache Spark, Hadoop, Java.
- What seniority level is this role?
- Databricks targets senior candidates for this position.
- Is this full-time or contract?
- Full-time for this Specialist Solutions Architect - AWS Infrastructure & Platform role at Databricks.
From the original posting
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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 on Amazon Web Services (AWS). You combine deep technical expertise with strategic thinking to position Databricks as the foundation of your customers’ data and AI strategy.
This role can be remote.
The Impact You Will Have
- Guide strategic customers through the full lifecycle of Databricks on AWS, including platform administration from initial architectural design to production deployment
- Architect secure, scalable enterprise deployments that satisfy complex AWS networking (VPCs, PrivateLink), identity (AWS IAM / AWS IAM Identity Center), and security compliance standards
- Serve as a subject matter expert in core areas such as AWS infrastructure, infrastructure-as-code (IaC), cloud networking, and identity management
- Drive technical wins in competitive scenarios by demonstrating Databricks’ differentiation through custom-built solutions
- Orchestrate cross-functional resources (DSAs, SAs, SSAs, Partners) to deliver comprehensive solutions for complex customer needs
- Influence product direction by providing structured feedback on customer requirements and competitive gaps
What We Look For
- 6+ years in solutions architecture, technical pre-sales, or a senior hands-on technical role
- Advanced expertise across the following areas:
- Security & Identity: AWS security controls, platform/network/data security, encryption, vulnerability management, compliance, and identity protocols (AWS IAM, AWS IAM Identity Center, SCIM, OAuth, SAML, Federation)
- Networking & Deployments: AWS enterprise networking (VPC peering, AWS Direct Connect, PrivateLink), network routing, performance optimization, and large-scale deployment management
- Platform Administration: High availability, disaster recovery, cluster orchestration, observability (Amazon CloudWatch, AWS CloudTrail), and AWS Cost Management
- Infrastructure Automation (InfraOps): Hands-on automation using IaC tools (e.g., Terraform, AWS CloudFormation, AWS CDK) to build, maintain, and scale complex AWS environments
- Strong coding proficiency in Python and SQL — you must demonstrate live coding, debugging, and solution-building skills
- Deep expertise in distributed data systems architecture: designing scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms
- Proficient on the Databricks Platform (or demonstrated ability to achieve proficiency rapidly) with a developing technical specialization in one area (e.g., real-time/streaming, ML/AI, data governance, migrations)
- Proven ability to lead architecture discussions with senior technical stakeholders — whiteboarding, design reviews, and trade-off analysis
- Track record of driving platform adoption and consumption growth within accounts
- Excellent communication skills — able to translate complex architectures into business value for both technical and executive audiences
- Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)
- Willingness to travel up to 30% as needed
Nice to Have
- Databricks certifications (Data Engineer, ML, Platform)
- AWS certifications (AWS Certified Solutions Architect – Professional, AWS Certified Data Engineer)
- Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse) — understanding the landscape you'll position against
- Background in a data/AI company or cloud provider
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
BenefitsStandard company text repeated across Databricks's postings is omitted here.