Databricks
Solutions Architect - Digital Native Business (Healthtech)
Remote - California; San Francisco, California. Posted 2 months 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 for digital native customers in the Healthtech space.
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
- Expertise in healthcare data standards (HL7, FHIR, EDI/X12, ICD-10, CPT codes) and healthcare compliance frameworks
- Experience working with or selling into pharmaceutical companies, biotech firms, CROs, or medical device companies
- 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.)
Before you apply
- Interview process includes 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.