Infrastructure & AI Specialist SA - Databricks AWS NEW

The Briefed; United States; Remote; USD 180,000 - 248,000; Full time

Benefits offered by this job

Equity grants

401(k) plan options

Comprehensive healthcare

Job summary

Databricks is hiring an Infrastructure & AI Platform Specialist Solutions Architect (SSA) focusing on AWS. You will advise enterprise customers on architecture, cloud infrastructure, and AI deployment patterns for the Databricks platform on AWS.

The role blends deep technical work with strategic pre-sales execution, including model serving, vector databases, and cost/performance optimization. You will lead cross-functional teams, drive technical wins in competitive cycles, and work with Python,

Qualifications

• Strong live coding, debugging, and solution-building skills in Python and SQL.
• Experience in cloud infrastructure for AI/ML workloads.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or equivalent.
• Willingness to travel up to 30% for customer work.

Responsibilities

• Guide strategic customers through the full lifecycle of Databricks on AWS.
• Architect compute/networking infrastructure for AI/ML workloads and GenAI apps.
• Design secure AWS deployment patterns and identity controls.
• Automate Databricks environments using IaC tools such as Terraform, CloudFormation, or CDK.
• Drive technical wins in competitive sales cycles and provide product feedback.

Skills

Python

SQL

Education

Bachelor’s or Master’s in Computer Science/Engineering

Tools

Terraform

AWS CloudFormation

AWS CDK

Job description

Databricks is the Data and AI company. Over 20,000 organizations worldwide—including 70% of the Fortune 500—rely on the Databricks Data + AI Platform to build and scale data and AI applications, analytics, and autonomous agents.

As an Infrastructure & AI Platform Specialist Solutions Architect (SSA) focusing on AWS, 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. Combining deep technical expertise with strategic pre-sales execution, you will architect compute and networking environments for AI workloads, large language models (LLMs), and high-performance GenAI applications built on Databricks. You will drive technical wins in competitive sales cycles, orchestrate cross-functional field teams, and work with Python, SQL, Terraform, and AWS cloud networking.

Key Responsibilities

• Enterprise Customer Advisory: Guide strategic customers through the full lifecycle of Databricks on AWS—from initial architectural design and platform administration to production rollout.
• AI Infrastructure Architecture: Architect and scale compute/networking infrastructure for AI/ML workloads, including GPU/TPU accelerator configuration, model serving platforms, vectorized retrieval, and cost vs. performance optimization.
• AWS Cloud Security & Identity: Architect enterprise identity and security controls using AWS IAM, AWS IAM Identity Center, SCIM, OAuth, SAML, single sign-on (SSO), and role-based access patterns.
• Enterprise Cloud Networking: Design secure AWS deployment patterns utilizing VPC Peering, AWS Direct Connect, AWS PrivateLink, custom routing, and high-availability network topologies.
• Infrastructure Automation (InfraOps): Automate and scale complex AWS Databricks environments using Infrastructure as Code (IaC) tools such as Terraform, AWS CloudFormation, or AWS CDK.
• Competitive Technical Wins: Drive technical victories in competitive scenarios by demonstrating Databricks’ architectural differentiation against competitors (Snowflake, AWS native services, Azure Synapse).
• Cross-Functional Leadership & Product Feedback: Partner with Domain SAs, Account Executives, and Partner teams to deliver comprehensive solutions, while providing structured feedback to Databricks product management.

Requirements

Solutions Architecture & AWS Infrastructure Depth

• 6+ years of experience in solutions architecture, technical pre-sales, or senior hands-on technical architecture roles.
• AI/ML Cloud Infrastructure: Hands-on experience architecting cloud infrastructure for AI execution, including accelerator setup (GPUs/TPUs), scalable model serving, vector databases, and cost optimization for large-scale AI workloads.
• Advanced AWS Technical Mastery:
  • Security & Identity: AWS security controls, encryption, vulnerability management, compliance frameworks, AWS IAM, SCIM, OAuth, SAML, and Identity Federation.
  • Networking & Deployments: AWS enterprise networking (VPC peering, AWS Direct Connect, PrivateLink), routing, performance tuning, and global deployment management.
  • Platform Administration: High availability, disaster recovery, cluster orchestration, observability (Amazon CloudWatch, AWS CloudTrail), and AWS Cost Management.
  • Infrastructure as Code (IaC): Hands-on experience with Terraform, AWS CloudFormation, or AWS CDK.
• Coding Proficiency: Strong live coding, debugging, and solution-building skills in Python and SQL.
• Distributed Data Systems: Deep understanding of distributed data architectures, ETL/ELT pipelines, streaming data, and lakehouse patterns.
• Education: Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline (or equivalent practical experience).
• Travel: Willingness to travel up to 30% for customer whiteboarding and account alignment.

Preferred Qualifications

• Recognized Databricks Certifications (Databricks Certified Data Engineer, ML Professional, Platform Administrator).
• Industry Certifications: AWS Certified Solutions Architect – Professional or AWS Certified Data Engineer.
• Competitive platform knowledge (Snowflake, AWS native data services, Azure Synapse).
• Direct background working within cloud providers or enterprise data/AI platforms.

Selection & Interview Process

1. Recruiter Screen
2. Hiring Manager Screen
3. Design & Architecture Interview
4. Live Coding Assessment (Python & SQL)
5. Technical Presentation
6. Reference Check

Total Rewards & Benefits

• Compensation & Equity: Pay range of $180,000 – $247,500 USD (On-Target Earnings) + annual performance bonus eligibility + Databricks equity grants.
• Healthcare & Wellbeing: Comprehensive medical, dental, and vision insurance coverage for employees and eligible dependents.
• Financial & Retirement: 401(k) plan options, life/disability coverage, and employee wellness stipends.
• Time Off & Flexibility: Flexible PTO, paid company holidays, paid sick leave, and parental leave.