Manager, Field Engineering (Specialist) - HCLS
Databricks is a data and AI platform that lets organizations build analytics, AI agents, and applications on a unified, governed lakehouse.
Funding history
Investors
About Databricks
Data engineers, analysts, and AI teams use Databricks to process large datasets, build reliable pipelines, and train models on a single governed platform. Users can run SQL analytics, serve ML predictions in real time, and deploy AI agents grounded in enterprise data. Its open lakehouse architecture provides consistent security and governance across analytical and operational workloads.
Skills
Candidate Availability
Required and preferred rules are kept separate and reflect the wording in the original posting.
About the Role
You will lead a team of Specialist Solutions Architects and leaders in the Life Science vertical who provide specialist coverage for the SA and DSA teams. You will hire and build the team, drive product adoption and accelerate use cases to production, and collaborate with Sales, Marketing, Support, Product Development, Operations and other FE teams to meet HLS consumption targets.
Requirements
- 2+ years leadership experience building and guiding teams
- Experience designing complex, large-scale solutions in healthcare and life sciences
- Knowledge of HIPAA, GDPR, HL7, FHIR and DICOM
- Familiarity with genomics, bioinformatics, clinical trials, drug discovery, real-world evidence and precision medicine
- Understanding of EHR, telemedicine, medical imaging and price transparency
- Experience in senior pre-sales or post-sales roles in Big Data, Cloud or SaaS
- Player/Coach capability
- Experience scaling and mentoring teams at hyper-growth speed
- Technical background in Data Engineering, Database technologies or Data Science
- Bachelor's degree in STEM or MSc desirable
Responsibilities
- Hire and build the Specialist Solutions Architect team
- Build a collaborative culture within a hyper-growth team
- Drive product adoption and accelerate use cases to production in Life Sciences
- Collaborate with cross-functional teams to meet HLS consumption and commit targets
- Guide the team to communicate outcome-based results
Benefits
- Annual performance bonus eligibility
- Equity eligibility