Manager, Field Engineering

Databricks
Summary
Join Databricks as a Manager, Specialist Solutions Architect to lead a team of Specialist Solution Architects in the Healthcare and Life Science vertical. You will drive technical wins, accelerate Databricks DBU consumption, and guide your team in communicating complex results. Responsibilities include building and scaling the Specialist Solutions Architect team, fostering a collaborative culture, driving product adoption, and collaborating with cross-functional teams. The ideal candidate possesses expertise in designing and implementing large-scale solutions within healthcare and life science, strong knowledge of relevant regulations and standards, and experience in senior pre-sales or post-sales roles. A technical background in data engineering or data science is also required. Databricks offers a competitive salary and benefits package.
Requirements
- Demonstrated expertise in designing and implementing complex, large-scale solutions within the healthcare and life science industries, with a solid understanding of the specific challenges and data requirements in the HLS vertical
- Strong knowledge of HLS-specific regulations, such as HIPAA, GDPR, and industry standards like HL7, FHIR, and DICOM
- Familiarity with life science-related use cases and topics, including genomics, bioinformatics, clinical trials, drug discovery, real-world evidence, and precision medicine
- In-depth understanding of healthcare-related use cases and topics, such as electronic health records (EHR), telemedicine, medical imaging, and price transparency
- Experience in senior pre-sales or post-sales roles, that have assisted in the development or building of a successful team in Big Data, Cloud, or SaaS professionals
- Player/Coach capability, comfortable both leading or contributing to work on projects, with production-level quality
- Have experience scaling and mentoring field or technical teams from scratch at hyper-growth speed
- Knowledgeable in and passionate about data-driven decisions, AI, and Cloud software models
- Great at instituting processes for technical field members to promote efficiency
- Bachelor's Degree in STEM subject or MSc desirable
- Technical background either in Data Engineering / Database technologies or Data Science
Responsibilities
- Hiring and building the Specialist Solutions Architect team, scaling the designated field engineering segment organization without sacrificing quality
- Build a collaborative culture within a hyper-growth team to embody and ensure Databricks' company values
- Drive Databricks product adoption and accelerate use cases to production within the HLS vertical
- Collaborate closely with cross-functional teams, including Sales, Marketing, Support, Product Development, Operations, and other FE teams, to strategize and align efforts towards achieving HLS vertical's incremental consumption target and commit target
Benefits
- Annual performance bonus
- Equity