Solutions Architect (Healthtech)

Location: Remote in California; San Francisco, California

Salary: $180,000–$247,500 USD per year, with potential annual performance bonus, equity, and benefits.

Company

Databricks provides a unified Data + AI Platform for building and scaling data, analytics, and AI applications.

What you will do

• Own end-to-end technical strategy for customer accounts from discovery through production deployment and consumption growth.
• Lead architecture discussions and design scalable, production-grade solutions across data engineering, ML/AI, streaming, and real-time analytics.
• Advise customer architects, engineering leads, and directors on platform architecture and technical decisions.
• Build custom solutions to demonstrate Databricks differentiation in competitive scenarios and drive platform adoption.
• Develop a technical specialization and coordinate DSAs, SSAs, and partners to address complex customer needs.
• Provide structured customer and competitive feedback to influence product direction.

Requirements

• 6+ years of experience in solutions architecture, data engineering, technical pre-sales, or a senior hands-on technical role.
• Strong Python and SQL skills, including live coding, debugging, and solution building.
• Deep knowledge of distributed data systems, scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
• Experience with Databricks or the ability to become proficient rapidly, with a developing specialization in areas such as streaming, ML/AI, governance, or migrations.
• Experience leading architecture discussions and deploying production solutions on AWS, Azure, or GCP, including infrastructure, security, and governance.
• Bachelor’s or Master’s degree in Computer Science, Engineering, or a quantitative discipline, or equivalent experience.

Nice to have

• Healthcare data standards and compliance experience, including HL7, FHIR, EDI/X12, ICD-10, or CPT codes.
• Experience with pharmaceutical, biotech, CRO, or medical device companies.
• Databricks certifications or experience with Snowflake, AWS native services, or Azure Synapse.
• Background in a data/AI company or cloud provider, or expertise in financial services, healthcare, retail, or media.

Culture & Benefits

• Comprehensive benefits and perks that vary by region.
• Potential annual performance bonus and equity eligibility.
• Inclusive workplace focused on equal employment opportunity and diversity.

Hiring process

• Recruiter screen and hiring manager screen.
• Design and architecture interview followed by a live coding assessment.
• Build, Demo, Pitch! presentation and reference check.