Data & Analytics

Specialist Solutions Architect - AWS Infrastructure & AI Platform

RemoteRemoteFull TimeDistinguished / Architect$180,000–$247,500 /yrPosted 2 months agoVisa sponsorship available

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Required skills

Databricks
AWS
Solutions Architect
Platform Administration
Security
Networking
Identity Management
Infrastructure as Code
Python
SQL

Nice to have

Databricks certifications
Snowflake
AWS native services
Azure Synapse

Role summary

Databricks is seeking a Specialist Solutions Architect (SSA) focused on Cloud Infrastructure & Platform (AWS) to act as a trusted technical advisor for enterprise customers. This remote role involves guiding customers through the architecture, administration, and security of Databricks deployments on AWS. You will design secure, scalable solutions, focusing on AWS networking, identity, and security compliance. Key responsibilities include serving as a subject matter expert in AWS infrastructure, IaC, cloud networking, and identity management, driving technical wins, and orchestrating cross-functional resources. The role requires strong coding proficiency in Python and SQL, deep expertise in distributed data systems, and proficiency with the Databricks Platform. You will lead architecture discussions with senior stakeholders and influence product direction.

FEQ427R143

As an Infrastructure & 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

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.

Local Pay Range$180,000—$247,500 USD

About Databricks

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.BenefitsAt 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.

Sample Databricks interview questions

1
Design a document processing pipeline
system designmedium
2
Design a distributed file system
system designmedium
3
Design a database schema for a fitness app
system designmedium
4
Design a push notification service for mobile and web.
system designmedium
5
Design an Ad Budgeting System
system designhard

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