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

Software Engineer - New Grad (2026 Start)

Job Description

**Job Title** Software Engineer – New Graduate (2026 Start) **Role Summary** Entry‑level software engineer tasked with designing, developing, testing, and operating features for the Databricks platform. Collaborates on backend, full‑stack, infrastructure, database, systems, and cloud teams, contributing to the platform’s reliability, scalability, and security. **Expectations** - Graduate in December 2025 or Spring 2026 with a bachelor’s or master’s degree in Computer Science, Engineering, or related field. - Deliver code that meets production quality, security, and performance standards. - Engage in end‑to‑end project ownership, from requirements through deployment. - Quickly onboard and become a productive contributor on meaningful projects. **Key Responsibilities** - Design, implement, and maintain Databricks platform features. - Write clean, test‑able, and well‑documented code in Python, Java, or C++. - Participate in architecture discussions and propose solutions that enhance reliability, scalability, and security. - Write unit, integration, and system tests; execute code reviews. - Deploy and monitor services in production, responding to incidents and optimizing performance. - Collaborate cross‑functionally with product, data, and ops teams. - Work with a mentor and team to accelerate learning and career growth. **Required Skills** - Proficiency in a general‑purpose language (Python, Java, or C++). - Strong grasp of algorithms, data structures, and object‑oriented design principles. - Experience with end‑to‑end software delivery (design, development, testing, deployment). - Familiarity with cloud environments (AWS, Azure, GCP) and containerization tools (Docker, Kubernetes) is a plus. - Effective communication and teamwork in an agile, collaborative environment. - Basic understanding of security best practices and scalable infrastructure design. **Required Education & Certifications** - Bachelor’s or master’s degree in Computer Science, Software Engineering, or related technical discipline, expected completion December 2025 or Spring 2026. - No mandatory certifications required; technical knowledge and practical coding experience are prioritized.

Vancouver, Canada

On site

04-12-2025

Company Name

Databricks

Job Title

Senior Manager, Digital Native Sales

Job Description

Job title: Senior Manager, Digital Native Sales Role Summary: Lead and coach a team of Emerging Enterprise & Digital Native Account Executives to achieve quota and secure new strategic logos in the UKI market for a high‑growth SaaS/Data AI platform. Define territory plans, set individual quotas, and deliver accurate sales forecasting and reporting. Expactations: • Achieve team overall quota and revenue targets • Land new strategic logos and expand market penetration in key sectors • Provide accurate forecasting, reporting, and strategic GTM programs • Foster a high‑performance, value‑driven culture and drive customer success Key Responsibilities: • Coach and develop account executives using methodology‑based sales coaching (MEDDPIC, value‑based selling) • Establish territory plans, team structure, quotas, and investment capacity requirements • Deliver revenue forecasts and manage cross‑functional initiatives (sales enablement, marketing, customer success) • Build trust‑based relationships with customers and partners for long‑term success • Drive adoption of consumption and commitment‑based revenue models • Partner with EMEA function leaders to ensure forecast accuracy and predictable growth Required Skills: • Proven leadership in high‑growth enterprise software sales (Data, AI, Cloud, or SaaS) • Strong hiring, coaching, and talent development record • Expertise in MEDDPIC methodology, value‑based selling, and C‑suite stakeholder engagement • Ability to design and execute territory and sales strategy plans • Knowledge of partner ecosystems and experience growing pipeline through partners • Excellent forecasting, reporting, and analytical skills Required Education & Certifications: • Bachelor’s degree in Business, Marketing, Computer Science, or equivalent experience. • Preferred: SaaS sales certifications or experience with MEDDPIC framework.

London, United kingdom

On site

Senior

07-12-2025

Company Name

Databricks

Job Title

Staff Software Engineer - User Activation

Job Description

**Job Title:** Staff Software Engineer – User Activation **Role Summary:** Lead the technical strategy, architecture, and delivery of customer onboarding, workspace experience and account management solutions for a high‑scale SaaS platform. Own end‑to‑end subsystem design, manage a team of engineers and collaborate with product, design and infrastructure stakeholders to accelerate product‑led growth. **Expectations:** - Serve as senior technical leader and mentor for a 20‑engineer squad, overseeing managers and guiding development practices. - Drive cross‑functional alignment of technical vision with business growth goals. - Deliver high‑performance, scalable, and maintainable full‑stack solutions that enable seamless user flows. **Key Responsibilities:** - Define and own strategy for onboarding, workspace, and account management features. - Architect and evolve core user experiences, ensuring performance, reliability, and simplicity. - Conduct design reviews, enforce code quality, testing, and performance best practices. - Deliver full‑stack software development, writing and reviewing production‑ready code. - Partner with product, design, and vertical/platform teams to integrate horizontal features into the broader platform. - Mentor engineering staff, create technical career paths, and support hiring and retention. - Advocate for engineering excellence and continuous improvement across the organization. **Required Skills:** - 15+ years of professional software engineering experience. - 5+ years of engineering management, including managing managers. - Strong expertise in Front‑End or Full‑Stack development (modern JavaScript/TypeScript, React, Node.js, etc.). - Proven experience designing and building scalable SaaS onboarding and customer‑growth product experiences. - Deep knowledge of distributed systems, cloud platforms (AWS, Azure, GCP), and modern web application architecture. - Strong architectural judgment and hands‑on implementation capability. - Excellent communication, collaboration, and stakeholder‑management skills. - Passion for data‑intelligence and product‑led growth. **Required Education & Certifications:** - Bachelor’s or Master’s degree in Computer Science, Software Engineering, or related technical field. - Relevant certifications in cloud platforms (AWS Solutions Architect, Azure Solutions Architect, GCP Professional Cloud Architect) are highly preferred.

San francisco, United states

On site

Senior

23-12-2025

Company Name

Databricks

Job Title

Senior Staff Software Engineer - AI + Data Intelligence Platform

Job Description

**Job Title:** Senior Staff Software Engineer **Role Summary:** Lead development of the next-generation AI and Data Intelligence Platform, collaborating with product, data science, and engineering teams to build scalable tools, pipelines, and infrastructure. **Expectations:** - Define and execute the long-term vision for the platform, aligning with product and company objectives. - Design and optimize data pipelines using Databricks, partner tools, and open-source systems. - Develop infrastructure for multi-cloud scaling (CI/CD, test frameworks, IaC). - Architect high-performance systems for latency-critical services, multi-tenant platforms, and large-scale data processing. - Represent technical capabilities at academic and industry conferences. **Key Responsibilities:** - Build reliable, scalable data infrastructure for enterprise metrics and analytics. - Collaborate cross-functionally to solve complex data challenges. - Mentor engineers and drive best practices in technical leadership. **Required Skills:** - Deep expertise in distributed systems and large-scale data platforms. - Proficiency in AI/ML integration, data pipelines, and cloud-native architecture. - Strong CI/CD, IaC, and test framework implementation experience. - Exceptional technical leadership with 6+ years managing production-scale data systems. - Excellent communication and strategic problem-solving. **Required Education & Certifications:** - BS/MS/PhD in Computer Science or equivalent with 15+ years industry experience. - Proven track record in building, deploying, and maintaining mission-critical distributed systems.

Mountain view, United states

On site

Senior

23-12-2025