Role at a glance
- Job function
-
Sales Technical Sales & Sales Engineering
- Salary
- $219.6K – $301.9K/yr
- Location
- Northeast, United States Remote - Texas, United States
- Work arrangement
- On-site
- Employment
- Full-time
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Qualifications
5+ years managing technical pre-sales teams, including senior individual contributors and frontline technical managers or pod leads; 5+ years of experience with highly technical data and AI platforms; healthcare and life sciences expertise including OMOP, FHIR, HIPAA, and GxP; experience advising HLS technical executives; expertise in technical qualification, architecture design validation, POC management, value selling, organizational scaling, pipeline tracking, resource allocation, and cross-functional alignment.
Required
- 5+ years of leadership experience directly managing technical pre-sales teams
- 5+ years of deep experience in the data and AI space with highly technical platforms
- Comprehensive understanding of the Healthcare and Life Sciences vertical
- Hands-on familiarity with OMOP and FHIR industry data models
- Understanding of HIPAA and GxP regulatory constraints
- Experience advising HLS technical executives on cloud infrastructure and AI roadmap decisions
- Technical qualification, architecture design validation, structured POC management, and value-selling expertise
- Experience hiring complex profiles, accelerating onboarding cycles, coaching leaders, and managing progression pathways
About the role
Original posting provided by Databricks
FEQ327R502
The Manager, Specialist Solutions Architect will lead a team of Specialist Solution Architects and leaders in the 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 Life Sciences 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:
- 2+ years leadership experience building and guiding teams
- 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
Pay Range Transparency
Databricks is committed to fair and equitable compensation practices. The pay range(s) for this role is listed below and represents the expected salary range for non-commissionable roles or on-target earnings for commissionable roles. Actual compensation packages are based on several factors that are unique to each candidate, including but not limited to job-related skills, depth of experience, relevant certifications and training, and specific work location. Based on the factors above, Databricks anticipates utilizing the full width of the range. The total compensation package for this position may also include eligibility for annual performance bonus, equity, and the benefits listed above. For more information regarding which range your location is in visit our page here.
About Databricks
Databricks is the Data and AI company. More than 20,000 organizations worldwide — including adidas, AT&T, Bayer, Block, Mastercard, Rivian, Unilever, and 70% of the Fortune 500 — rely on the Databricks Data + AI Platform to build and scale data and AI apps, analytics and agents. Headquartered in San Francisco with 30+ offices around the globe, Databricks offers a unified platform that includes Genie, Lakebase, Agent Bricks, Lakeflow, Lakehouse, and Unity Catalog. To learn more, follow Databricks on LinkedIn, X, YouTube, and Instagram.
Benefits
At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here.
Our Commitment to Diversity and Inclusion
At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics.
Compliance
If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.
About the company
Databricks
Large Enterprise
Databricks is a cloud-based data platform that specializes in providing solutions for data engineering, machine learning, and analytics. Founded in 2013 by the original creators of Apache Spark, the company enables organizations to unify data processing and analysis workflows, facilitating collaboration for data professionals. Databricks offers an integrated environment for data scientists, engineers, and business analysts, streamlining the process of building and deploying AI and data-driven applications. With a strong emphasis on simplifying big data management, Databricks helps businesses harness the power of their data to drive innovation and insights.