Manager - Field Engineering

August 17

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Databricks

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Databricks is the lakehouse company$1. .$1

Apache Spark • Apache Spark Training • Cloud Computing • Big Data • Data Science

1001 - 5000

💰 $1.6G Series H on 2021-08

Description

• 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

Requirements

• Demonstrated expertise in designing and implementing complex, large-scale solutions within the healthcare and life science industries • 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

Benefits

• Private medical, dental and optical • Life, accident, disability and critical illness coverage • Central Provident Fund for local nationals • Equity awards • Enhanced Parental Leaves • Fitness reimbursement • Annual career development fund • Home office & work headphones reimbursement • Business travel accident insurance • Mental wellness resources • Employee referral bonus