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Databricks

Databricks

Data AI · Lakehouse

HQ
San Francisco, US
Founded
2013
Size
8,000+
Website
databricks.com
Blog
databricks.com
Products
  • Databricks Lakehouse
  • Mosaic AI
Competitors
  • Scale AI · Data AI

Currently tracking 66 active AI roles, down 30% versus the prior 4 weeks. Primary focus: Agent · Engineering. Salary range $130k–$425k (avg $220k).

Hiring
66 / 68
Momentum (4w)
↓-52 -30%
123 opens last 4w · 175 prior 4w
Salary range · avg $220k
$130k–$425k
USD · disclosed roles only
Tracked since
Sep '23
last role yesterday
Hiring velocityscroll left for older weeks
1 new role
May 16
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Jul 11
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Feb 27
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Mar 20
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Jun 19
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1 new role
Nov 6
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Jan 22
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42 new roles
Mar 2
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64 new roles
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Apr 6
41 new roles
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May 4
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11

Jobs (9)

66 AI · 809 total active
FilteredFunctionEngineering×CountryAustralia×Clear all
Show
Active onlyAI only (≥ 7)
Stage
AllData · 13Pretrain · 2Post-train · 3Serve · 30Agent · 43Ship · 29
Function
AllEngineering · 473Product · 331Research · 5
Country
AllUnited States · 430India · 81United Kingdom · 39Germany · 37Singapore · 37Australia · 30Japan · 25Netherlands · 25Canada · 15France · 13Denmark · 11Serbia · 11Brazil · 10South Korea · 10Sweden · 8Italy · 7Mexico · 6Costa Rica · 4Israel · 2New Zealand · 2Switzerland · 2Spain · 1
Sort
AI scoreRecentTitle
TitleStageFunctionLocationFirst seenAI score
AI Engineer - FDE (Forward Deployed Engineer)
AI Engineer (Forward Deployed Engineer) at Databricks focused on delivering professional services to help customers build and productionize GenAI applications. This role involves developing cutting-edge GenAI solutions, owning production rollouts, and serving as a technical advisor.
AgentEngineeringNew South Wales, AustraliaDec '258
AI Engineer - FDE (Forward Deployed Engineer)
AI Engineer (Forward Deployed Engineer) at Databricks focused on delivering professional services to help customers build and productionize GenAI applications. This role involves developing cutting-edge GenAI solutions, owning production rollouts, and serving as a technical advisor.
AgentEngineeringNew South Wales, AustraliaDec '258
Resident Solutions Architect
This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements to address big data challenges using the Databricks platform. Responsibilities include data engineering, data science, and cloud technology projects, integrating systems, and providing technical guidance for customer adoption. The role involves end-to-end design, build, and deployment of big data and AI applications, offering escalated support, and providing product feedback. Requires 8+ years of experience in Big Data technologies, Python/Scala coding, technical project delivery, and client management.
—
Engineering
New South Wales, Australia
3w ago
5
Sr. Manager, Field Engineering
Manager, Field Engineering (Solutions Architects) to build and lead a pre-sales team focusing on assigned accounts. Responsibilities include managing hiring, scaling the team, fostering a collaborative culture, supporting sales cycles, and building customer relationships. Requires experience in Pre Sales Manager roles with Big Data, Cloud, or SaaS, knowledge of data-driven decisions, AI, and Cloud software, and a background in Data Architecture.
—EngineeringMelbourne, Australia1w ago0
Manager, Field Engineering
Manager, Field Engineering (Solutions Architects) to build and lead a pre-sales team focusing on assigned accounts. Responsibilities include hiring, scaling the team, fostering a collaborative culture, increasing the ROI of SA involvement in sales cycles, and promoting value-based selling. Requires experience in Pre Sales Management with Big Data, Cloud, or SaaS professionals, scaling and mentoring technical teams, and background in Data Architecture.
—EngineeringMelbourne, Australia1w ago0
Solutions Architect
Solutions Architect role at Databricks focused on customer engagement, technical sales, and demonstrating the value of the Databricks Data Intelligence Platform. The role involves building client relationships, acting as a trusted advisor on architecture and implementation, and scaling best practices through reference architectures and demos. Requires proficiency in Big Data Analytics, coding in a core programming language, and experience with complex solution architecture designs.
—EngineeringSydney, Australia6w ago0
Sr. Solutions Engineer
This role is for a Sr. Solutions Engineer at Databricks, focusing on demonstrating the company's Data Intelligence Platform to clients. The role involves building client relationships, providing technical value, integrating with the cloud ecosystem, contributing to the technical community, and acting as a Big Data Analytics advisor. Responsibilities include authoring reference architectures and demo applications, with a path to becoming an independently operating Solutions Architect. The ideal candidate has client-facing experience, can deliver technical propositions, identify pain points, and has coding skills in Python, Java, or Scala, with knowledge in Big Data Analytics and public cloud platforms.
—EngineeringQueensland, Australia8w ago0
GTM Talent Sourcer (Contract)
Databricks is seeking a Go-To-Market Talent Sourcer in Sydney, Australia, to find and engage top talent for roles including sales and solutions architects. The role involves developing sourcing strategies, nurturing talent pools, and using data to inform decisions. The ideal candidate will have 3+ years of technical or go-to-market recruiting experience and expertise in various sourcing techniques.
—EngineeringSydney, AustraliaOct '250
Field Engineering, Data Warehousing Product Specialist
This role is a Field Engineering Product Specialist focused on Data Warehousing at Databricks. The primary responsibilities include defining and driving the technical go-to-market strategy in the APAC region, guiding customers on data warehousing architecture, acting as a trusted advisor to senior executives, and supporting internal field engineering teams. The role also involves partnering with Product Management to influence product direction and acting as a thought leader through external speaking engagements and content creation. Expertise in cloud-based data warehousing, modern data platforms, and traditional data warehousing techniques is required.
—EngineeringQueensland, AustraliaSep '250