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Databricks

Databricks

databricks.com

15 Jobs

10,517 Employees

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 background Company brand
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 background Company brand
Company Name
Databricks
Job Title
Staff Project Manager, Services
Job Description
Paris, France
On site
24-09-2025
Company background Company brand
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
Company background Company brand
Company Name
Databricks
Job Title
Solutions Architect (Professional Services)
Job Description
Job title: Solutions Architect (Professional Services) Role Summary Deliver end‑to‑end big‑data and AI projects on the Databricks platform for short‑ to medium‑term customer engagements. Design and build reference architectures, integrate with client systems, and guide customers through transformational data initiatives while ensuring high‑quality delivery and exceptional service. Expectations - Billable delivery of projects that meet client specifications and timelines. - Maintain strong customer service and effective communication with stakeholders. - Adapt to travel requirements of up to 10 % of the time. - Contribute product and implementation feedback to Databricks teams. Key Responsibilities - Scoping and designing professional services engagements in collaboration with engagement managers. - Building, deploying, and productionalising data pipelines, analytics, and AI applications using Databricks, Spark, Delta Lake, and MLflow. - Writing production‑ready code in Python or Scala and implementing CI/CD for deployments. - Acting as a technical consultant on architecture, design, and best practices for clients’ data ecosystems. - Providing escalated operational support and resolving engagement‑specific product issues. - Documenting designs, creating white‑board material, and delivering client training. - Managing project scope, timelines, and client expectations throughout engagement lifecycle. Required Skills - Proven experience in data engineering, analytics, and cloud‑native data platforms. - Strong command of Apache Spark and knowledge of Spark runtime internals. - Proficiency in Python or Scala programming. - Expertise in at least one major cloud ecosystem (AWS, Azure, GCP) and familiarity with at least one additional ecosystem. - Hands‑on experience with MLOps and end‑to‑end data architecture design. - Understanding of CI/CD pipelines for production deployments. - Excellent written and verbal communication, documentation, and white‑board skills. - Demonstrated ability to manage client relationships, negotiate scope, and resolve conflicts. - Ability to travel as required (up to 10 %). Required Education & Certifications - Bachelor’s degree in Computer Science, Engineering, or a related technical field. - Databricks Certified Professional (Databricks Certified Data Engineer Associate or Databricks Certified Data Scientist) preferred. - Relevant cloud certifications (AWS Solution Architect, Azure Data Engineer, GCP Data Engineer) are a plus.
London, United kingdom
On site
03-10-2025