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Databricks

Builds cloud software for data analysis and AI

Manager Field Engineering - Specialist, Hcls

Pre-Sales Solution EngineeringConfirmed live in the last 24 hours
Full-timeUnited StatesIn-person

About the Job

Requirements

  • At least 2 years of leadership experience building and guiding teams.
  • Demonstrated expertise designing and implementing complex, large-scale solutions in healthcare and life sciences, including understanding HLS-specific challenges and data requirements.
  • Strong knowledge of healthcare and life sciences regulations and standards, including HIPAA, GDPR, HL7, FHIR, and DICOM.
  • Familiarity with life sciences use cases including genomics, bioinformatics, clinical trials, drug discovery, real-world evidence, and precision medicine.
  • In-depth understanding of healthcare use cases including electronic health records, telemedicine, medical imaging, and price transparency.
  • Experience in senior pre-sales or post-sales roles that contributed to developing or building a successful team of Big Data, Cloud, or SaaS professionals.
  • Ability to contribute to projects with production-level quality while also leading teams.
  • Experience scaling and mentoring field or technical teams from scratch at hyper-growth speed.
  • Knowledge of and interest in data-driven decisions, artificial intelligence, and cloud software models.
  • Ability to institute processes that improve the efficiency of technical field members.
  • Technical background in data engineering, database technologies, or data science.

Responsibilities

  • Hire and build the Specialist Solutions Architect team, scaling the designated field engineering segment organization while maintaining quality.
  • Build a collaborative culture within a hyper-growth team that embodies and ensures Databricks’ company values.
  • Drive Databricks product adoption and accelerate use cases to production within the life sciences vertical.
  • Collaborate with Sales, Marketing, Support, Product Development, Operations, and other field engineering teams to align efforts toward the HLS vertical’s incremental consumption and commit targets.

Desired Qualifications

  • A bachelor’s degree in a STEM subject.
  • A Master of Science degree.

About the Company

Databricks

Builds cloud software for data analysis and AI

Databricks builds cloud software that businesses use to organize data, analyze it, and develop AI applications. Its lakehouse architecture brings the flexible storage of a data lake together with the querying and management tools of a data warehouse. Data engineers prepare and update datasets, analysts build reports, and developers train models or create applications in a shared workspace with controls over who can use the data. The platform runs on Amazon, Microsoft, and Google clouds, and customers pay for computing usage or commit to longer contracts for discounted rates. Databricks was founded in 2013 and is headquartered in San Francisco, California.

Company size
10,001+
Company stage
Late Stage VC
Total funding
$32.1B
Headquarters
San Francisco, CA
Founded
2013

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