P-1528

As a Staff Security Assurance Engineer within the Security Risk Management and Special Projects team, you will lead high-visibility security compliance and risk management initiatives. Reporting directly to the Director, you will serve as a strategic catalyst for these programs, ensuring seamless execution and alignment with Databricks’ global security objectives.

You will navigate a complex, cloud-native landscape, collaborating with Security, IT, Engineering, Internal Audit, Corporate Operations, and other teams, to assure successful completion of these highly cross-functional projects that enable the growth of our business and safeguard our customers. 

The impact you will have:

• Drive Project Outcomes: Adopt an ownership mindset to lead the end-to-end delivery of new security certifications, expanding Databricks’ reach across global markets.
• Accelerate Execution: Act as a force multiplier by proactively identifying and neutralizing project blockers, reducing friction, and maintaining high velocity in a cloud-native environment.
• Orchestrate Cross-Functional Decision Making: Navigate complex technical and compliance trade-offs, driving consensus across Engineering, IT, and Product teams to reach timely resolutions.
• Optimize Delivery Methodologies: Continuously refine project frameworks to maximize effectiveness, ensuring that security initiatives are both rigorous and agile.
• Precision Program Management: Masterfully oversee project lifecycles—including milestones, dependencies, and risk mitigation—while providing executive-level transparency through accurate status reporting.
• Build Strategic Partnerships: Forge deep, collaborative relationships with Security Assurance subject matter experts and technical stakeholders to ensure seamless alignment on security goals.

What we look for:

We are looking for a professional with the following skills and practical experience in:

• Proven Expertise: 4+ years of experience in technical program/project management, specifically within the security domain at a fast-paced, cloud-native organization.
• Strategic Ownership: Demonstrated success in leading high-stakes security compliance initiatives (e.g., FedRAMP, PCI, HIPAA) from inception to market.
• Complexity Management: Experience navigating projects with intricate technical dependencies, multiple stakeholders, and competing constraints with geo-distributed teams.
• Executive Presence: Ability to influence and communicate effectively across the spectrum, from deep-dive technical discussions with engineers to high-level briefings for senior leadership.
• Agility & Continuous Learning: A proven track record of rapidly mastering new processes, methodologies, technologies, and security frameworks to meet evolving business needs.
• Communication Excellence: Superb verbal and written skills, with a knack for translating complex project data into clear, actionable insights and documentation.

Educational Foundation: Bachelor’s degree in Computer Science, Information Systems, or a related technical field (or equivalent practical experience).

P-1526

We’re looking for a Business Development Representative to represent Databricks to prospective customers. This role is perfect for a sales professional early on in their career, looking to help scale out a game-changing enterprise software company and develop their sales career. Reporting to the Sales Development Manager, you will be part of a dynamic team of like-minded individuals and have the opportunity to really make a difference in a budding regional team.

The impact you will have:

• Partner with the wider sales team to develop territory strategy, build pipeline, and drive adoption
• Helping to Identify potential Databricks use cases to help grow consumption within customer/prospect accounts
• Self-starter, eager to learn and develop on solution selling, Big Data & AI
• Problem solver, strong communicator, and ability to learn technical sales
• Be customer-centric. Provide a great customer experience for Databricks’ prospective customers
• Maintain active inbound and outbound communications with prospects using creative follow-up, including personalized email, cold calling, and social selling

What we look for:

• Bachelor's Degree required
• 2+ years of sales or business development experience
• Ability to understand technical concepts and a genuine enthusiasm for technology
• Determination and courage to succeed and lean in to build the next best enterprise software company
• Consistent, measurable over-achievement in past experiences
• Curiosity and hunger to learn and stay up-to-date about the big data/AI industry
• Desire to build a career in technology sales
• A high degree of ownership and grit

P-1525

We’re looking for a Business Development Representative to represent Databricks to prospective customers. This role is perfect for a sales professional early on in their career, looking to help scale out a game-changing enterprise software company and develop their sales career. Reporting to the Sales Development Manager, you will be part of a dynamic team of like-minded individuals and have the opportunity to really make a difference in a budding regional team.

The impact you will have:

• Partner with the wider sales team to develop territory strategy, build pipeline, and drive adoption
• Helping to Identify potential Databricks use cases to help grow consumption within customer/prospect accounts
• Self-starter, eager to learn and develop on solution selling, Big Data & AI
• Problem solver, strong communicator, and ability to learn technical sales
• Be customer-centric. Provide a great customer experience for Databricks’ prospective customers
• Maintain active inbound and outbound communications with prospects using creative follow-up, including personalized email, cold calling, and social selling

What we look for:

• Bachelor's Degree required 
• 2+ years of sales or business development experience
• Ability to understand technical concepts and a genuine enthusiasm for technology
• Determination and courage to succeed and lean in to build the next best enterprise software company
• Consistent, measurable over-achievement in past experiences
• Curiosity and hunger to learn and stay up-to-date about the big data/AI industry
• Desire to build a career in technology sales
• A high degree of ownership and grit

P-1508

• Promote Revenue Success: Build and exceed your teams quarterly/annual sales targets
• Build and Implement Strategic Plans: Develop and execute evolving revenue plans and growth tactics
• Create Trust-Based Relationships: develop long term customer, partner, and cross-functional relationships
• Distill Customer Needs and Value: Help your team to understand commercial goals of your customer and how they relate to our value proposition
• Manage the Voice of Databricks: Lead your team to communicate the value proposition through proposals and presentations

• 5+ years high-growth Cloud/Data & AI leader with experience leading a field sales team.
• 3+ years of experience translating a highly technical product into quantified business value for the CSuite.
• 3+ years of experience selling against open source or freemium.
• Demonstrated track record delivering working towards personal and team goals while to uplevel your process
• Ability to influence, develop, and empower employees to achieve personal objectives with a team first mindset
• Coach and develop sales fundamentals to Account Executives including and not limited to prospecting, forecasting, and negotiation tactic
• Excellent written and verbal communication skills and experience presenting to the C Suite.
• Willing to travel (<35%).
• Bachelor’s degree required.

P-1381

At Databricks, we are passionate about enabling Data & AI teams to solve the world's toughest problems - from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business. Founded by engineers, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. And we're only getting started.

About the Team:

The Backline Engineering Team serves as the critical bridge between Frontline Support and Engineering. We handle complex technical issues and escalations across the Data and AI ecosystem. With a strong focus on customer success, we are committed to delivering exceptional customer satisfaction by providing deep technical expertise, proactive issue resolution, and continuous platform improvements. We emphasise automation and tooling to enhance troubleshooting efficiency, reduce manual efforts, and improve the overall supportability of the platform and the health of our products. By developing smart solutions and streamlining workflows, we drive operational excellence and ensure a delightful experience for both customers and internal teams.

What your impact will be:

• Deep Dive Troubleshooting: Conduct deep-dive forensics into Spark core internals and the broader Databricks Data and AI ecosystem to resolve high-priority architectural failures and complex system anomalies.
• Root Cause Analysis: Perform advanced code-level analysis and resource profiling to identify and mitigate systemic root causes, ensuring the stability and reliability of high-scale production workloads.
• Architectural Optimization: Optimise architectural performance across the Data and AI stack by refining execution parameters and enforcing best practice strategies to maximise resource efficiency and throughput.
• Product Improvements: Analyse global issue trends and patterns to partner directly with Product Engineering, influencing the product roadmap and driving initiatives that enhance long-term supportability.
  Scalability & Tooling: Develop reproduction frameworks, automated workflows, and AI-driven diagnostic tools that translate complex backline findings into standardised resolution paths to empower and scale the broader organisation.

What we look for:

We are looking for customer-obsessed candidates with 10+ years of relevant experience, including deep expertise in one of the following three specialized tracks, along with proven experience in managing both customers and technical stakeholders. Since each track calls for a different set of technical capabilities, we’re looking for excellence in one area rather than proficiency in all: 

• Data Engineering Track: Expertise in large-scale big data solutions and ETL pipelines using Spark, Delta Lake, or Hive. Strong experience troubleshooting failures, diagnosing performance issues, and identifying root causes. Demonstrated problem-solving ability and understanding of data engineering best practices to ensure reliable, efficient workflows. Solid hands-on programming skills in Python, SQL, or Scala.
• Product Supportability Track: Deep understanding of distributed system internals. Ability to perform code-level root-cause analysis and profiling (using metrics and heap/thread dumps) in Java, Scala, or Python. Proven record of contributing to bug fixes and mentoring other engineers.
• AI Track: Experience with large-scale machine learning and generative AI systems, including LLM-based applications and agent-driven workflows. Strong grasp of model training, evaluation, and deployment in distributed environments. Experience managing the ML lifecycle, including governance and operationalisation. Skilled in diagnosing and optimising distributed ML workloads for performance and scalability.

P-1357

As an Emerging Enterprise Account Executive at Databricks, you have strong command of the SaaS sales process. You know how to sell innovation and change through customer vision expansion and can guide deals forward to compress decision cycles. You love understanding a product in-depth and are passionate about communicating its value to customers and partners. Always prospecting for new opportunities, you will close new accounts. Along with the chance to close exciting deals, we also offer accelerators above 100% quota accomplishment. You will report to a regional sales manager.

The impact you will have:

• Assess your accounts and develop a strategy to identify and engage all buying centers
• Use a solution approach to selling and creating value for customers
• Identify the most viable use cases in each account to maximize Databricks impact
• Orchestrate and work with teams to maximize the impact on your ecosystem
• Build value with all engagements to promote successful negotiations to close point
• Promote Databricks enterprise cloud data platform powered by Apache Spark
• Be Customer focused by delivering technical and business results using the Databricks Platform
• Promote Teamwork...it makes the Dreamwork!

What we look for:

• You have previously worked in an early-stage company and you know how to navigate and be successful in a fast growing organization.
• Sales experience within big data, Cloud, or SaaS sales
• Prior customer relationships with CIOs and important decision-makers
• Simply articulate intricate cloud technologies and big data
• Experience exceeding sales quotas
• Success closing new accounts while up selling existing accounts
• 2+ years of full- cycle closing sales experience in SaaS/PaaS companies
• Bachelor's Degree

# P-725

At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical breakthroughs. We do this by building and running the world's best data and AI infrastructure platform so our customers can use deep data insights to improve their business.

About the Team: Join the Core of Databricks Infrastructure

The Compute Infra Team is the engine behind all of Databricks' products and Control Plane services. We build and scale the foundational compute infrastructure that enables every Databricks customer to succeed, operating one of the largest and most dynamic data and AI clouds in the world.

Mission: Define the Future of Cloud Compute Efficiency and Scale

As the Technical Lead for Compute Fleet Management, you won't just manage a fleet—you will set the standard for how Databricks consumes and optimizes compute across all three major clouds (AWS, Azure, and GCP). This is a mission-critical role with direct impact on our gross margin and customer experience. Your mandate includes:

• Pioneering Fleet Optimization: Provisioning and pooling of O(Billion)s of cloud resources to achieve peak workload performance, industry-leading efficiency, and robust resource isolation.
• Delivering Hyper-Scale Resilience: Build the architecture that guarantees horizontal scaling and resilience against zonal or even cloud account-level failures, ensuring Databricks is always on.
• Owning the Critical Path: Lead the development of the lowest-dependency systems required to bootstrap and manage our massive compute platform.

Outcomes: The Impact You Will Deliver

This role is for an engineer who thrives on owning the most challenging and impactful outcomes:

• High Availability: Achieve and maintain 99.99% availability for all batch and serving workloads.
• Stellar Efficiency: Drive utilization to 60% or higher—a crucial metric that requires balancing high efficiency with unwavering tolerance for cloud failures.
• Best-in-Class Isolation: Architect and enforce strong security and performance isolation across a diverse range of customer workloads.

Requirements: Are You Ready for this Challenge?

We are seeking a seasoned Principal Engineer who has not only built but successfully operated large-scale, mission-critical infrastructure systems in production. You must have a track record of:

• Leading Transformative Projects: Taking ownership of complex, cross-team, cross-layer, and multi-quarter strategic engineering initiatives from concept to execution.
• Distributed Systems Mastery: Deep, hands-on experience developing and operating high-scale distributed systems on at least one major public cloud.
• Influence Without Authority: Proven ability to drive consensus, establish technical direction, and lead large technical efforts across organizational boundaries.
• Execution Discipline: Exceptional strength in planning, tracking project progress, and managing complex cross-organizational dependencies.

The Edge: Highly Desirable Experience

• Experience managing and scaling a massive fleet of GPUs for AI/ML workloads.
• Experience with developing and operating large-scale distributed systems across all major clouds (AWS, Azure, and GCP).