FEQ425R60
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 pre-sales 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, outcome-based 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 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.
What we look for:
- 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
