Solutions Architect - Digital Native Business (Geo)

Connecticut; Remote - Massachusetts; Remote - New York; Remote - Pennsylvania. Posted 7 days ago

The role

You will lead technical strategy for customers by owning architecture discussions and driving platform adoption. You will design scalable solutions spanning data engineering, ML/AI, and real-time analytics to position Databricks as a foundation for data and AI strategy.

What you will do

Own end-to-end technical strategy for accounts from discovery to production deployment
Lead complex architecture discussions for data engineering, ML/AI, and real-time analytics
Serve as a trusted technical advisor to customer architects, engineering leads, and Directors
Drive technical wins by demonstrating differentiation through custom-built solutions
Develop and declare an emerging technical specialization
Orchestrate cross-functional resources to deliver solutions
Influence product direction with feedback on customer requirements and competitive gaps

Required qualifications

6+ years in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role
Strong coding proficiency in Python and SQL
Deep expertise in distributed data systems architecture
Proficient on the Databricks Platform or ability to achieve proficiency rapidly
Ability to lead architecture discussions with senior technical stakeholders
Experience with production deployments on public cloud (AWS, Azure, or GCP)
Track record of driving platform adoption and consumption growth
Excellent communication skills
Bachelor's or Master's degree in Computer Science, Engineering, or a quantitative discipline (or equivalent experience)

Nice to have

Databricks certifications (Data Engineer, ML, Platform)
Experience with competitive platforms (Snowflake, AWS native services, Azure Synapse)
Background in a data/AI company or cloud provider
Industry domain expertise (Financial Services, Healthcare, Retail, Media, etc.)

Benefits

Annual performance bonus
Equity

Before you apply

Interview process: Recruiter Screen, Hiring Manager Screen, Design and Architecture Interview, Live Coding Assessment, Build, Demo, Pitch! Presentation, and Reference Check

About the company

Databricks is the Data and AI company. More than 20,000 organizations worldwide rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents.