Specialist Solutions Architect - AWS Infrastructure & AI Platform
The Specialist Solutions Architect will serve as a technical advisor helping enterprise customers design, deploy, and secure Databricks workloads on AWS. The role involves collaborating with sales teams, building proof-of-concept architectures, and providing expertise in cloud infrastructure, networking, and automation.
- Compensation
- $180K–$247.5K / yr
- Location
- United States
- Work setup
- Not specified
- Seniority
- Not specified
- Employment
- Not specified
- Experience
- 6+ years
- Category
- Architecture
- Posted
Skills
Must have
- 5+ years of hands-on experience in a technical role with deep expertise in AWS
- 2+ years of professional experience with distributed architectures and big data technologies
- 2+ years of experience in a customer-facing technical role
- Hands-on experience with Python, Java, or Scala
- Strong proficiency in SQL
- Bachelor's degree in Computer Science, Information Systems, Engineering, or equivalent
Nice to have
- Databricks certifications
- AWS certifications
Full description
FEQ427R143
As anInfrastructure & AI Platform Specialist Solutions Architect (SSA), you will serve as a trusted technical advisor, guiding enterprise customers through the architecture, cloud infrastructure, and AI deployment patterns of their Databricks Platform on 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 and scale compute/networking infrastructure designed specifically for AI workloads, enterprise LLM deployments, and high-performance GenAI applications built on Databricks
- 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
- Hands-on experience architecting underlying cloud infrastructure for AI/ML execution—including accelerator configuration (GPUs/TPUs), scalable model serving infrastructure, vectorized data retrieval, and balancing cloud performance vs. cost for large-scale AI workloads.
- 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