Resident Solutions Architect - Healthcare & Life Sciences
Works with healthcare and life sciences clients on big data projects using Databricks, designing architectures, implementing solutions, and providing technical support. Requires 6+ years in data engineering, Spark expertise, cloud platforms, and coding in Python/Scala.
About the job
Responsibilities
- Work on customer technical projects including designing reference architectures, creating how-to's, and productionalizing use cases.
- Scope professional services work with engagement managers and customer input.
- Guide customers on big data projects, 3rd party migrations, end-to-end design, build, and deployment of big data and AI applications.
- Consult on architecture and design, bootstrap or implement customer projects to drive adoption of Databricks.
- Provide escalated support for customer operational issues.
- Collaborate with Databricks technical team, Project Manager, Architect, and Customer team to deliver technical components.
- Work with Engineering and Customer Support to provide product feedback and resolve issues.
Requirements
- 6+ years experience in data engineering, data platforms & analytics.
- Comfortable writing code in Python or Scala.
- Working knowledge of two or more Cloud ecosystems (AWS, Azure, GCP) with expertise in at least one.
- Deep experience with distributed computing with Apache Spark and knowledge of Spark runtime internals.
- Familiarity with CI/CD for production deployments.
- Working knowledge of MLOps.
- Design and deployment of performant end-to-end data architectures.
- Experience with technical project delivery - managing scope and timelines.
- Documentation and white-boarding skills.
- Experience working with clients and managing conflicts.
- Build skills in technical areas for Databricks-based solutions.
- Travel to customers 20% of the time.
- Databricks Certification.
Skills
Python, Scala, Spark, AWS, Azure, GCP, CI/CD, MLOps, Databricks, Kubernetes
Similar jobs
Solutions Architecture jobs
Databricks
San Francisco, CA
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.
Imprint
New York, NYLeads enterprise partner solution design, payment integrations, launches, and ongoing technical delivery while influencing product strategy and automating implementation processes. Requires strong client-facing technical experience, payment architecture expertise, and proficiency with APIs and web/mobile technologies.
LiveKit
Miami, FLBuild and deploy real-time voice, media, and AI applications for customers using LiveKit. The role combines architecture, hands-on integrations, production debugging, and technical advising, requiring 7+ years of backend or infrastructure engineering experience and Spanish-English fluency.
Databricks
MarylandCustomer-facing solutions architect helping public sector clients evaluate, design, and implement Databricks data and AI solutions. Requires 7+ years in pre-sales architecture or consulting, distributed data systems expertise, public cloud experience, and a Top Secret clearance.
Databricks
Washington, DC
Senior forward-deployed engineer delivering secure, production-grade data and AI solutions for federal customers. The role requires 6+ years of engineering experience, strong Python and distributed-computing expertise, cloud experience, and eligibility for a U.S. Secret clearance.