Solutions Architect - Digital Native Business
Leads technical strategy and architecture for digital-native healthtech customers, driving Databricks adoption from discovery through production. Requires 6+ years of solutions architecture or related experience, strong Python and SQL skills, distributed data systems expertise, and public-cloud deployment experience.
About the job
Responsibilities
- 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, machine learning and artificial intelligence, and real-time analytics.
- Advise customer architects, engineering leads, and directors on technical strategy.
- Demonstrate custom-built solutions and Databricks differentiation in competitive scenarios.
- Develop a technical specialization and serve as a team resource in that domain.
- Coordinate data solutions architects, solution sales architects, and partners to address complex customer needs.
- Provide structured feedback on customer requirements and competitive gaps 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 coding skills, including live coding, debugging, and solution building.
- Deep expertise in distributed data systems architecture, including scalable pipelines, streaming architectures, lakehouse patterns, and cloud-native data platforms.
- Proficiency with the Databricks Platform or the ability to become proficient rapidly.
- Experience leading architecture discussions with senior technical stakeholders, including whiteboarding, design reviews, and trade-off analysis.
- Production deployment experience on a public cloud, including infrastructure, security, and governance considerations.
- Track record of driving platform adoption and consumption growth within accounts.
- Excellent communication skills for translating complex architectures into business value for technical and executive audiences.
- 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 frameworks, including HL7, FHIR, EDI/X12, ICD-10, and CPT codes.
- Experience with pharmaceutical, biotech, contract research, or medical device companies.
- Databricks certifications in data engineering, machine learning, or the platform.
- Experience with Snowflake, AWS native services, or Azure Synapse.
- Background in a data/AI company or cloud provider.
- Industry expertise in healthcare, financial services, retail, media, or similar sectors.
Compensation
- Local pay range: $180,000-$247,500 USD annually.
- Additional compensation may include an annual performance bonus, equity, and benefits.
Skills
Python, SQL, Databricks, Distributed Systems, Data Pipelines, Streaming Architectures, Lakehouse, Machine Learning, Artificial Intelligence, Real-Time Analytics, AWS, Azure, GCP, Snowflake, Azure Synapse
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