Databricks

About the Company

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).

Listed Jobs

Company Name

Databricks

Job Title

Senior Presales Solutions Architect - EMC (Energy, Manufacturing and Communications)

Job Description

Job title: Senior Presales Solutions Architect – EMC (Energy, Manufacturing and Communications) **Role Summary** Lead complex pre‑sales engagements for large enterprise clients across Energy, Manufacturing, and Communications verticals. Design, demonstrate, and champion Databricks data intelligence solutions that unify data, analytics, and AI on a multi‑cloud platform. Collaborate with Account Executives, Solutions Architects, and technology specialists to drive adoption and benefit realization. **Expectations** - Work with C‑level stakeholders to influence decision‑making. - Deliver tailored proof‑of‑concepts (PoCs) and workshops that showcase platform value. - Handle ambiguous requirements, navigate challenging environments, and maintain end‑to‑end customer engagement. - Provide deep technical coaching and support to internal sales teams. **Key Responsibilities** - Engage top‑tier accounts to advocate for Databricks Lakehouse adoption. - Co‑create engagement strategies and execution plans with account teams. - Deliver technical presentations, PoCs, and workshops to demonstrate solution fit. - Produce customer‑facing collateral and support community events (meet‑ups, seminars). - Coordinate with cloud and third‑party partners to optimize integration strategies. - Track program metrics and report progress to internal leadership. **Required Skills** - Expertise in data engineering, data warehousing, or machine learning/AI. - Proficiency in Python or SQL; familiarity with Apache Spark is essential. - Hands‑on experience with public cloud platforms (AWS, Azure, GCP). - Strong communication, storytelling, and presentation skills. - Ability to influence executives and manage cross‑functional teams. - Comfortable with independent work in ambiguous, high‑complexity settings. **Required Education & Certifications** - Bachelor’s or Master’s degree in Computer Science, Information Systems, or related field. - Databricks certification preferred (e.g., Databricks Certified Data Engineer Associate). - Willingness to travel up to 30 % for client and office engagement.

London, United kingdom

On site

Senior

07-09-2025

Company Name

Databricks

Job Title

Sr. Enterprise Security Engineer

Job Description

**Job Title:** Sr. Enterprise Security Engineer **Role Summary:** Lead enterprise security initiatives by conducting design reviews, developing threat models, and analyzing data flows to identify and mitigate risks across corporate applications and cloud environments. Provide guidance on security policies, standards, and frameworks, and drive automation and continuous improvement of security review processes. **Expectations:** - Perform comprehensive security design assessments for enterprise systems. - Produce detailed threat models and risk assessments. - Advise on implementation of security standards (e.g., NIST, ISO 27001, OWASP). - Enhance and automate security review tooling and processes. - Collaborate with cross‑functional teams to reduce attack surface and ensure secure architecture. **Key Responsibilities:** 1. Conduct security design reviews and identify architectural weaknesses. 2. Create and maintain threat models using methodologies such as STRIDE, DREAD, or PASTA. 3. Analyze data flows to evaluate storage, processing, and transmission of sensitive information. 4. Recommend and implement mitigations aligned with NIST 800‑53 and other relevant frameworks. 5. Guide adoption of cloud‑centric security controls, including IAM (e.g., Okta), device management (Jamf/Intune), EDR tuning (CrowdStrike, SentinelOne), and JIT access. 6. Evaluate and improve security review processes, introducing automation where feasible. 7. Provide expertise on network access solutions (CASB, Prisma, NAC) as needed. **Required Skills:** - Deep expertise in enterprise application security and secure architecture. - Proficient in threat modeling (STRIDE, DREAD, PASTA) and risk assessment. - Strong knowledge of NIST 800‑53 or comparable frameworks. - Experience with cloud security, IAM (Okta), device management (Jamf/Intune), and EDR tools. - Familiarity with network security solutions (CASB, Prisma, NAC). - Ability to automate security review processes and tooling. - Excellent communication and advisory skills for cross‑team collaboration. **Required Education & Certifications:** - Bachelor’s degree in Engineering, Computer Science, Information Security, or related field, **or** equivalent professional experience. - Relevant security certifications (e.g., CISSP, CISM, GSEC, CCSP) are preferred but not mandatory.

United kingdom

Remote

12-09-2025

Company Name

Databricks

Job Title

Staff Project Manager, Services

Job Description

Paris, France

On site

24-09-2025

Company Name

Databricks

Job Title

Software Engineer - New Grad, Distributed Data Systems (2026 Start)

Job Description

Job title Software Engineer – New Grad, Distributed Data Systems Role Summary New graduate software engineer responsible for designing, implementing, and optimizing core components of a distributed data platform. Work on query compilation, distributed execution, vectorized engines, data security, resource and transaction coordination, storage structures, and automated physical optimization. Expectations - Graduate in fall 2025 or spring 2026 with a B.S. or M.S. in Computer Science, Computer Engineering, Electrical Engineering, or related field. - Proficient in a general‑purpose language (Java or C++). - Strong foundation in algorithms, data structures, and OOP principles. - Passion for database, storage, distributed systems, language design, or performance engineering. - Experience owning end‑to‑end projects from design through delivery. Key Responsibilities - Design and develop query compilation and optimization modules. - Implement distributed query execution, scheduling, and vectorized execution engines. - Build and maintain data security, resource management, and transaction coordination components. - Design efficient storage formats, indexes, and encoding schemes. - Automate physical data optimization and manage data plane storage. - Collaborate with cross‑functional teams to integrate improvements into the platform. Required Skills - Programming in Java or C++ (proficiency). - Deep knowledge of algorithms, data structures, and OOP. - Understanding of distributed systems concepts (consensus, fault tolerance, scalability). - Database system internals (SQL parsing, execution plans, storage engine basics). - Performance tuning and optimisation techniques. - Project management and end‑to‑end delivery experience. - Strong analytical, problem‑solving, and communication skills. Required Education & Certifications Bachelor’s or Master’s degree in Computer Science, Computer Engineering, Electrical Engineering, or a closely related discipline, expected completion by fall 2025 or spring 2026. No specific professional certifications required.

Mountain view, United states

On site

03-10-2025