Solutions Architect - Digital Native Business (Healthtech)
About this role
Healthtech organizations need expert guidance to build scalable data and AI strategies that leverage the Databricks platform effectively. Databricks requires a Solutions Architect to own the technical strategy for digital native healthtech accounts, guiding customers from initial discovery through production deployment and consumption growth. In this capacity, the person chosen will lead complex architecture discussions, design streaming pipelines and lakehouse patterns, and act as a trusted advisor to engineering leads and directors.
Success in the role requires deep expertise in distributed data systems alongside strong coding skills in Python and SQL. A qualified candidate will also develop a technical specialization and coordinate cross-functional resources to address sophisticated customer requirements. Databricks offers a remote work arrangement based in California, providing an environment for professionals who excel at bridging complex technical implementations with business value.
What you will do
- Lead the end-to-end technical strategy for assigned accounts from discovery to production deployment.
- Design scalable, production-grade solutions encompassing data engineering, machine learning, and real-time analytics.
- Advise customer architects and engineering leads as a trusted technical authority.
- Drive technical wins in competitive scenarios by showcasing customized Databricks solutions.
- Establish a distinct technical specialization to serve as a resource for the broader team.
- Coordinate cross-functional partners and specialists to deliver comprehensive customer solutions.
- Gather structured feedback regarding customer requirements and product gaps to influence future product direction.
What you need
- Accumulate six or more years of experience in solutions architecture, data engineering, technical pre-sales, or a senior technical capacity.
- Demonstrate strong coding proficiency in Python and SQL through live coding and debugging evaluations.
- Possess deep expertise in distributed data systems architecture, including streaming architectures and lakehouse patterns.
- Show familiarity with public cloud production deployments across AWS, Azure, or GCP.
- Communicate effectively to translate complex architectures into clear business value for technical and executive audiences.
- Hold a Bachelor's or Master's degree in Computer Science, Engineering, a quantitative discipline, or equivalent practical experience.
Nice to have
- Databricks certifications in Data Engineer, Machine Learning, or Platform
- Experience with competitive platforms such as Snowflake, AWS native services, or Azure Synapse
- Background working within a data and AI company or cloud provider
- Industry domain expertise in healthcare, pharmaceutical companies, biotech, CROs, or medical device firms
- Familiarity with healthcare data standards like HL7, FHIR, EDI/X12, ICD-10, and CPT codes
Skills and tech stack
Questions candidates ask
What is the remote work policy and location for this role?
The position is remote with a focus on California, specifically around San Francisco.
What is the compensation range for the Solutions Architect position?
The local pay range is $180,000 to $247,500 USD, with actual compensation determined by skills, experience, certifications, and location.
What technical skills and stack are required?
Candidates must have strong coding proficiency in Python and SQL, alongside deep expertise in distributed data systems, lakehouse patterns, and public cloud environments.
What does the interview process look like?
The evaluation includes a recruiter screen, a hiring manager screen, a design and architecture interview, a live coding assessment, and a build, demo, pitch presentation followed by a reference check.