Manager, Field Engineering (Specialist)
Manager, Field Engineering (Specialist)
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Salary Not Disclosed
1 Vacancy
Job Description
FEQ226R381
The Manager Specialist Solutions Architect will lead a team of Specialist Solution Architects and leaders in the Healthcare and Life Science vertical who provide Specialist coverage for both our Solutions Architect (SA) teams and Delivery Solutions Architect (DSA) team. Your experience when partnering with the presales technical team and leaders will help drive technical wins and accelerate Databricks DBU consumption. You will be responsible for guiding and empowering your team to communicate complex outcomebased results that drive consumption and help our customers achieve their desired outcomes.
The impact you will have:
- Hiring and building the Specialist Solutions Architect team scaling the designated field engineering segment organization without sacrificing quality
- Build a collaborative culture within a hypergrowth 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 crossfunctional teams including Sales Marketing Support Product Development Operations and other FE teams to strategize and align efforts towards achieving HLS verticals incremental consumption target and commit target.
What we look for:
- Demonstrated expertise in designing and implementing complex largescale 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 HLSspecific regulations such as HIPAA GDPR and industry standards like HL7 FHIR and DICOM.
- Familiarity with life sciencerelated use cases and topics including genomics bioinformatics clinical trials drug discovery realworld evidence and precision medicine.
- Indepth understanding of healthcarerelated use cases and topics such as electronic health records (EHR) telemedicine medical imaging and price transparency.
- Experience in senior presales or postsales 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 productionlevel quality
- Have experience scaling and mentoring field or technical teams from scratch at hypergrowth speed
- Knowledgeable in and passionate about datadriven decisions AI and Cloud software models
- Great at instituting processes for technical field members to promote efficiency
- Bachelors Degree in STEM subject or MSc desirable
- Technical background either in Data Engineering / Database technologies or Data Science
Required Experience:
Manager
Employment Type
Full Time
