Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. --- Databricks applicants Please…
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Full company description
Databricks is the Data and AI company. More than 10,000 organizations worldwide — including Block, Comcast, Condé Nast, Rivian, Shell and over 60% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to take control of their data and put it to work with AI. Databricks is headquartered in San Francisco, with offices around the globe, and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow.
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Databricks applicants
Please apply through our official Careers page at databricks.com/company/careers.
All official communication from Databricks will come from email addresses ending with @databricks.com or @goodtime.io (our meeting tool).
LinkedIn followers
975,210
People associated on LinkedIn
11,901
Reported office locations
160 Spear Street, 13th Floor, San Francisco, CA 94105, US
Fora 22 Berners Street, London, England W1T 3LP, GB
Barbara Strozzilaan 350, 2nd floor, Amsterdam, HN 1083, NL
11 W 42nd St, 30th Floor, New York, NY 10036, US
120 Adelaide St W, Toronto, Ontario M5H, CA
109 North Bridge Road, Singapore, 179097, SG
2033 6th Ave, Suite 600, Seattle, WA 98121, US
100 W Evelyn Ave, Suite 210, Mountain View, California 94041, US
1660 International Drive, Suite 600, McLean, VA 22102, US
7300 Lone Star Dr, Plano, Texas 75024, US
500 108th Ave NE, Suite 1100, Bellevue, Washington 98004, US
1 Lincoln Street, Office 26-115, Boston, MA 02111, US
2120 University Ave, Suite 722, Berkeley, California 94704, US
Techspace Köpenicker, Straße 40-41, Berlin, Germany 10179, DE
Herzogspitalstraße 24, Munich, Bavaria 80331, DE
35-37, Rue Beaubourg, Paris, Île-de-France 75003, FR
1 Chome-4-5 Roppongi, Minato City, Tokyo 106-0032, JP
66 King Street, Sydney, NSW 2000, AU
222 Exhibition St, Melbourne, Victoria 3000, AU
No. 78/9, Outer Ring Rd, Bengaluru, Karnataka 560103, IN
Business categories
Data Storage
Information Technology
Data Integration
Artificial Intelligence
Software
Data Management
Venture Capital
Analytics
Artificial Intelligence (AI)
Machine Learning
Other recorded names
Databricks
Specialties
Apache Spark
Apache Spark Training
Cloud Computing
Big Data
Data Science
Delta Lake
Data Lakehouse
MLflow
Machine Learning
Data Engineering
Data Warehousing
Data Streaming
Open Source
Generative AI
Artificial Intelligence
Data Intelligence
Data Management
Data Goverance
Generative AI
and AI/ML Ops
Profile identifies a recruitment agency
No
Reported total investment
27,246,939,324
Currency and observation date were not supplied; this is not a current valuation or a funding round.
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years of exceeding sales quotas, field sales experience in big data, cloud or SaaS, and prior relationships with CIOs and program managers. Experience with early-stage companies, Financial Services accounts, and a Bachelor's degree are also sought.
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years of technical project or program delivery in data and AI, with programming in Python, SQL or Scala. They also need customer-facing pre-sales, architecture or consulting experience, and a track record of meeting quota or similar targets. A Bachelor's degree or equivalent work experience is expected.
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years of quota-exceeding enterprise sales, ideally in big data, cloud, or SaaS, plus hunter experience closing net-new logos. Telco experience, understanding of Spark and big data, and a bachelor's degree are preferred.
Databricks: Databricks is the Data and AI company.
7+ YOEDatabricks needs a candidate with 7+ years of exceeding sales quotas, field sales experience in big data, cloud or SaaS, and hunter experience closing net-new logos. A bachelor's degree is required, and understanding of Spark and big data is preferred.
Databricks: Databricks is the Data and AI company.
3+ YOECandidates need 3+ years of full-cycle, quota-carrying B2B sales, ideally in data, cloud, AI, or SaaS. They need usage-based selling experience, enough technical depth for demos and basic architecture, and familiarity with MEDDPICC.
Databricks: Databricks is the Data and AI company.
Candidates need experience in pre-sales or technical account management with very large global accounts above $1m ARR. They also need strong technical skills in big data, data science and cloud, plus production programming in Python, R, Scala or Java.
Databricks: Databricks is the Data and AI company.
Candidates need a degree in Computer Science or Engineering, expected fall 2026 or spring 2027. They need implementation skills in a language such as Python, Java or C++, plus knowledge of algorithms, data structures and OOP.
Databricks, Software development, Computer science, Python, Oracle Java, C++
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years supporting data and AI solutions in financial services or insurance, experience with large global accounts, and strong programming and cloud skills. Relationship-building with executives and clear presentation to decision-makers are also required.
Databricks: Databricks is the Data and AI company.
Candidates need experience selling to very large global accounts, strong technical knowledge of big data, data science and cloud, and production programming in Python, R, Scala or Java. Databricks certification is a nice-to-have.
Databricks: Databricks is the Data and AI company.
Candidates need to graduate in fall 2027 or spring 2028 in Computer Science, Engineering, or a related field. They need skill in a general-purpose language such as Python, Java, or C++, and solid knowledge of algorithms, data structures, and OOP.
Databricks: Databricks is the Data and AI company.
Candidates need several years leading high-growth enterprise software sales teams, ideally in Data, AI, Cloud or SaaS and the Public Sector. Strong quota records, methodology-based coaching (MEDDPIC, Challenger), executive relationships and partner ecosystem knowledge are expected.
Sales, Databricks, Lead a team, Forecasting, Reporting, Teamwork
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years of SaaS, cloud, AI or big data sales in the public sector, fluent French, and deep knowledge of Canadian government procurement and tendering. Experience with structured sales methods and multi-stakeholder deals is also required.
Sales, Databricks, Decision making, Procurement, Regulatory compliance, ML
Databricks: Databricks is the Data and AI company.
1+ YOECandidates need at least one year of closing sales experience, ideally in big data, cloud or SaaS sales. They must learn new technologies quickly and consistently meet or exceed sales targets.
Databricks: Databricks is the Data and AI company.
10+ YOECandidates need 10+ years of experience with HTML, CSS and JavaScript, plus 10+ years of server-side web development. They also need SQL, cloud and container experience, and experience building large-scale distributed systems.
Databricks: Databricks is the Data and AI company.
8+ YOECandidates need 8+ years of software engineering experience, including running large-scale distributed systems in production. They need strong programming skills in Java, Scala, C++ or Go, cloud and container experience, and the ability to influence technical direction.
Databricks: Databricks is the Data and AI company.
7+ YOECandidates need 7+ years in customer-facing pre-sales, architecture or consulting, with strong skills in big data, data warehousing or machine learning. They should be fluent in SQL and have coding experience in Python, Scala, Java or R.
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years of customer-facing pre-sales experience in financial services, with a record of leading large global accounts. They must be hands-on with big data, data science, cloud (Azure and AWS), and production programming in Python, R or Scala.
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years in a customer-facing pre-sales, architecture or consulting role, with expertise in big data, data warehousing, data science or data applications. Fluency in SQL and a debug or development skill in Python, Scala, Java or R are also required.
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years of professional software engineering experience, including frontend and backend work. Strong skills in HTML, CSS, JavaScript/TypeScript and React, plus knowledge of UX, accessibility and responsive design, are expected.
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years of front-end experience with HTML, CSS and JavaScript, plus 5+ years of server-side development. Strong SQL, cloud and large-scale distributed systems experience is also required.
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years of software engineering experience, including large-scale distributed systems in production. They should know Java, Scala, C++ or Go, cloud and container tools, and have strong communication skills.
Databricks: Databricks is the Data and AI company.
5+ YOECandidates need 5+ years of enterprise technology sales with a record of exceeding quotas and a proven track record selling into Oil & Gas, Utilities or Mining in Western Canada. Strong knowledge of data solutions such as warehousing, BI, cloud, machine learning and GenAI is needed, along with a bachelor's degree or equivalent experience.
Databricks: Databricks is the Data and AI company.
7+ YOE3+ MgmtCandidates need 3+ years building and leading technical pre-sales teams and 7+ years in the data space with a technical product. They must be technical enough to earn engineers' trust and able to review complex architectures.
Databricks, Lead a team, Data analysis, Data engineering, Sales, Manage a team
Databricks: Databricks is the Data and AI company.
5+ YOE2+ MgmtCandidates need 2+ years managing teams that build and operate SaaS systems and 5+ years with distributed systems and platforms. They should have scaled engineering teams from 5 to 20+, hired and retained strong talent, and managed distributed teams. A BS or higher in Computer Science or a related field is required.
Databricks, Unity, SQL, Data visualization, Computer science, Adaptability