This role is for a Sr. Manager, Field Engineering (Specialist) at Databricks, focusing on leading a team of Partner Solution Architects. The primary responsibility is to mature the consulting and SI partner development function by providing technical guidance for partner pre-sales and data analytics delivery organizations. The goal is to accelerate customer success and Databricks DBU consumption through a global partner ecosystem by enabling partners to build technical points of view, identify offers, and guide adoption of the Databricks platform. The role requires experience in hiring and managing technical teams, senior pre-sales or post-sales experience in Big Data, Cloud, or SaaS, and a technical background in Data Engineering or Data Science.

This role supports the Global Proposal Program Manager in accelerating field sales and go-to-market efforts by responding to customer questionnaires, RFQs, RFIs, and other forms. It involves managing a request queue, coordinating with subject matter experts, and potentially working on RFPs. The role also focuses on commercial GenAI-driven automated strategic response management, including streamlining responses, maintaining a knowledge base, and creating enablement materials. The impact includes delivering high-quality responses, tracking proposal metrics, and improving response strategies and processes.

This Principal Engineer role at Databricks focuses on Privacy within the Trust & Safety team, aiming to enhance the security and trustworthiness of their data and AI infrastructure platform. The role involves identifying and plugging security gaps, building large-scale distributed systems, and representing security engineering across the organization. While the company is in the data and AI space, this specific role is centered on security and privacy engineering, not direct AI/ML model development.

This role is for a Director of Engineering focused on building and leading the data infrastructure organization at Databricks. The primary focus is on ensuring the reliability, correctness, and scalability of systems that handle petabytes of data and billions of daily transactions, particularly for billing and monetization. The role involves architecting foundational teams, defining infrastructure vision, and ensuring operational resilience and disaster recovery for critical business systems.

Strategic Core Account Executive for Databricks, focusing on financial services organizations in Monterrey, Mexico. Responsibilities include managing designated accounts, expanding consumption, and driving revenue growth by understanding and communicating the value of Databricks' Data Intelligence Platform.

This role focuses on designing and delivering enablement programs for Databricks Technical Support Engineers, aiming to improve their technical and soft skills. It involves collaborating with subject-matter experts, understanding business needs, and driving improvements in Support KPIs.

Databricks is seeking experienced Senior Software Engineers with large-scale distributed system experience to join the Networking Infrastructure team. The role involves designing and automating networking foundations for large-scale compute clusters across major cloud providers, connecting millions of VMs. Responsibilities include leading the design and development of secure and scalable connectivity for data and AI workloads, and collaborating with cross-functional teams.

Seeking experienced Senior Software Engineers to join the Networking Infrastructure team. The role involves designing and automating networking foundations for large-scale compute clusters across major cloud providers, connecting millions of VMs. Responsibilities include leading the design and development of secure and scalable connectivity for data and AI workloads, working with cross-functional teams to deliver robust systems.

Databricks is seeking a Senior Software Engineer to join their team in Bengaluru, India. The role focuses on designing, developing, and optimizing application frameworks and core system infrastructure. The engineer will work with JVM internals, memory management, concurrency, and distributed systems, optimizing performance, reliability, and scalability. This is a senior role requiring 7+ years of experience and a deep understanding of JVM internals and systems-level programming.

Databricks is seeking a Sr. Manager, Engineering Performance to lead a team focused on evaluating and improving the performance and scalability of their data and AI infrastructure platform. This role involves setting performance targets, developing benchmarks, conducting competitive analysis, and deep-dive investigations to identify and resolve performance bottlenecks. The manager will also be responsible for team development, recruitment, and cross-functional collaboration with product and infrastructure teams.

Director, Field Engineering role focused on leading pre-sales Solutions Architects in the Middle East & Africa region, driving expansion across various industries, and supporting consumption growth. Requires strong leadership, sales partnership, and customer relationship building experience.

Databricks is seeking a Go-To-Market Talent Sourcer in Sydney, Australia, to find and engage top talent for roles including sales and solutions architects. The role involves developing sourcing strategies, nurturing talent pools, and using data to inform decisions. The ideal candidate will have 3+ years of technical or go-to-market recruiting experience and expertise in various sourcing techniques.

Databricks is seeking a Director of Engineering to lead critical infrastructure initiatives for their data and AI platform. The role involves building and operating distributed systems, driving efficiency, reliability, and automation, and integrating AI-driven tooling into the infrastructure. The ideal candidate will have extensive experience in large-scale distributed systems, cloud infrastructure, and managing high-performing infrastructure teams.

Databricks is seeking a Staff Software Engineer with 15+ years of experience in core database internals and large-scale distributed systems to join their Lakeflow Connect team. This role focuses on building scalable and fault-tolerant data ingestion solutions for the Lakehouse platform, utilizing techniques like incremental data capture and log parsing. The engineer will be responsible for architecture design, technical leadership, and ensuring high availability and performance of data processing engines.

Databricks is seeking a Staff Software Engineer with 15+ years of experience in building and supporting large-scale distributed systems, particularly in core database internals and data ingestion. The role involves developing highly scalable and fault-tolerant data processing engines, focusing on techniques like incremental data capture and log parsing for enterprise applications and databases. The engineer will influence product roadmaps, lead technical projects, and mentor team members.

Sr. Product Manager for Databricks' Compute Platform, which powers various Databricks workloads including Classic Compute, SQL Warehouses, and Serverless Compute. This role is critical to many Databricks products and features, requiring a deep understanding of data platforms and compute products. The PM will own the product vision, strategy, and roadmap, working closely with engineering, design, sales, and marketing to launch new features and drive adoption. The role involves engaging directly with enterprise customers and partners to understand their needs and prioritize solutions, as well as driving competitive differentiation. Requires 5+ years of product management experience, preferably in cloud, analytics, or data platforms, with a strong technical background and exceptional communication skills.

Sr. Product Manager for Databricks' Compute Platform, which powers various Databricks workloads including Classic Compute, SQL Warehouses, and Serverless Compute. This role is critical to many Databricks products and features, requiring close collaboration with engineering, design, sales, and marketing to define product vision, strategy, and roadmaps, and to drive adoption through customer engagement and data-driven insights.

Databricks is seeking an experienced Geo Hunter Account Executive for their LATAM team in Brazil. The role involves selling Databricks' enterprise cloud data platform, focusing on closing new accounts, increasing consumption, and creating new workloads in existing accounts. The ideal candidate has a background in field sales within big data, Cloud, and SaaS, with strong customer relationships and the ability to articulate complex cloud technologies.

Finance Manager role focused on FP&A, partnering with GTM teams to assess consumption growth drivers and manage financial models and forecasts for a data and AI company.

Strategic Account Executive for Databricks, focusing on the Manufacturing vertical in Tokyo. Responsibilities include driving growth, expanding use cases, building C-level relationships, and closing new accounts. Requires extensive experience in complex software sales, understanding of the Manufacturing domain, and familiarity with Data/AI/ML technologies.

Engineering Manager to lead the Notebook Dataplane team responsible for running user code in the Notebook. The team is transforming the architecture to run stateful user code as a service for Serverless products, requiring a reliable and low-latency service. The role involves driving technical vision, architecture, and execution, leading a team of software engineers, and recruiting new members.

Product Manager for Databricks' Lakeflow Jobs team, focusing on data-aware orchestration, control-flow capabilities, authoring experiences, and observability features within the Databricks Data Intelligence Platform. The role involves defining strategy, driving metrics, collaborating cross-functionally, and owning the product lifecycle for a platform that manages millions of workloads weekly.

Senior Software Engineer on the Application Traffic team responsible for designing and building systems for Databricks' service-to-service communication across thousands of clusters in a multi-cloud environment. This includes creating abstractions for connectivity, discovery, and reliability, as well as building control planes for ingress, service discovery, load balancing, and overload protection mechanisms like rate limiting and admission control.

This role is a Field Engineering Product Specialist focused on Data Warehousing at Databricks. The primary responsibilities include defining and driving the technical go-to-market strategy in the APAC region, guiding customers on data warehousing architecture, acting as a trusted advisor to senior executives, and supporting internal field engineering teams. The role also involves partnering with Product Management to influence product direction and acting as a thought leader through external speaking engagements and content creation. Expertise in cloud-based data warehousing, modern data platforms, and traditional data warehousing techniques is required.

Senior Engineering Manager to lead a team focused on Security, Access, and Regulatory Compliance for the Databricks Data and AI platform. The role involves building and scaling the team, defining strategy for secure frameworks, and ensuring security/compliance by design.

Databricks is seeking an Engineering Manager to lead teams focused on AI/BI initiatives, including data visualization, business semantics, and conversational data access (text-to-SQL). The role involves leading full-stack engineers, overseeing recruitment and talent development, building processes, managing technical debt, and contributing to the overall product vision and strategy for making Databricks the best product for business users to gain data insights.

Lead a team focused on embedding security into Databricks' core platforms, including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks. The role involves shaping company-wide security architecture, driving "secure-by-default" platforms, opinionated frameworks, and systemic guardrails, and partnering with engineering teams to make the secure path the easiest path. The goal is to eliminate entire classes of security risk through scalable design and set technical direction to empower engineers to build secure systems at massive scale.

Lead a team focused on embedding security into Databricks' core platforms, including compute, identity, data plane, control plane, Kubernetes infrastructure, and developer frameworks. The role involves shaping company-wide security architecture, driving "secure-by-default" platforms, opinionated frameworks, and systemic guardrails, and partnering with engineering teams to make the secure path the easiest path. The goal is to eliminate entire classes of security risk through scalable design and set technical direction to empower engineers to build secure systems at massive scale.

Databricks is seeking an experienced Outbound Sales Development Manager to lead recruiting, pipeline generation strategy, and coaching for Business Development Representatives (BDRs). The role involves managing and developing a team, collaborating with sales and marketing, optimizing outbound workflows, and using data to diagnose and fix bottlenecks in the lead-to-opportunity lifecycle. The ideal candidate has SaaS sales experience, including managing an outbound sales development team, and expertise with Salesforce and Outreach, with a demonstrated success using AI to improve work streams.

Databricks is seeking a Senior Software Engineer - Fullstack to work on their data and AI infrastructure platform, focusing on building modern SaaS products with great user experience. The role involves working on teams like SQL Analytics Console, Jobs and Workflows, Developer Ecosystem, or Apps Developer Experience, with a specific mention of a Codegen sub-team building tools for agents to generate Apps.

This role focuses on driving the adoption and financial performance of a Databricks product line by developing go-to-market strategies, creating scalable programs, and aligning roadmaps with market needs. The Adoption Architect acts as a liaison between product management and field teams, prioritizing customer blockers and representing the field's perspective on strategic decisions.

Databricks is seeking a Director of Engineering to lead their Lakeflow Connect organization in India. This role involves leading a team that builds data infrastructure, specifically focusing on providing ready-to-use connectors for various data sources to ingest data into the Lakehouse. The position requires experience in building and managing large-scale distributed systems and high-performance teams, with a focus on cloud platforms and cross-functional collaboration with product management.

Databricks is seeking an experienced Sr. Designated Support Engineer/Premier Support Engineer with a strong technical foundation and a passion for customer engagement. This self-motivated professional will demonstrate high commitment to both customers and internal teams, with excellent communication, project management, and problem-solving skills. In this role, the Designated Support Engineer will build and maintain close relationships with strategic customers, manage and prioritize critical issues, and ensure a high-touch, proactive support experience.

Director of Engineering at Databricks, focusing on enhancing developer productivity and driving innovation in the developer platform space by integrating AI tools into the developer workflow. This role involves leading critical initiatives, managing technical debt, building and operating scalable cloud services, and growing engineering teams. The position requires extensive experience in large-scale distributed systems and cloud platforms, with a strong emphasis on leadership and cross-functional collaboration.

This role focuses on helping clients leverage the Databricks platform to solve big data challenges, providing expertise in data engineering, data science, and cloud technologies. The Resident Solutions Architect will work on customer engagements, build reference architectures, and guide customers in implementing data and AI applications.

This role is a customer-facing engineering position focused on implementing big data solutions and AI applications using Databricks platform and Apache Spark. The engineer will guide clients through data engineering to model deployment, ensuring best practices and providing technical leadership.

Strategic Account Executive for Databricks' Data Intelligence Platform, focusing on the retail sector. The role involves owning enterprise accounts, developing account strategies, building C-suite relationships, and driving revenue growth and platform consumption by acting as a trusted advisor on Data & AI transformation. Requires strong sales experience in Big Data, Cloud, or SaaS environments and a track record of exceeding quotas.

Databricks is seeking a Senior Engineering Manager to lead the Photon team, responsible for developing and scaling their cutting-edge query engine that powers the Databricks Lakehouse Platform. The role involves leading engineers, defining roadmaps, and fostering technical excellence in distributed systems and data processing.

Databricks is seeking a Startup Account Executive to drive sales for their Data Intelligence Platform, which unifies data, analytics, and AI. The role involves building territory plans, aligning customers with the Lakehouse vision, managing sales processes, and exceeding revenue targets. Requires 1+ years of closing sales experience, preferably in big data, Cloud, or SaaS.

Fullstack Software Engineer at Databricks, focusing on building and running the world's best data and AI infrastructure platform. The role involves working on AI/BI products, log analytics, and Databricks Apps, with a focus on user experience and scalable product development.

Databricks is hiring a Staff Software Engineer for their new Vancouver R&D center. This role will focus on building and scaling their data and AI infrastructure platform, with potential involvement in areas like Log Analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps. The role requires extensive experience in backend development, distributed systems, and cloud technologies.

Lead teams to build available, scalable and reliable software for Databricks' data and AI infrastructure platform, focusing on delivery of products and features, hiring and developing talent, and ensuring high technical standards.

Senior Legal Counsel for Databricks' international public sector business, focusing on government transactions, procurement, data protection, and regulatory compliance in the cloud and AI space.

Senior Engineering Manager to lead a team of ~20 software engineers in developing unified infrastructure for Databricks Workspace, powering customer-facing capabilities like Content Discovery, Organization, collaborative code editing, and repository management. The role involves defining technical strategy, owning roadmap and execution, establishing engineering best practices, and collaborating across product and engineering teams to support the growth of agentic AI workloads and scale the customer base.

Databricks is seeking a Senior Solutions Engineer to join their team in Aarhus, Denmark. The role involves building client relationships, demonstrating the Databricks Data Intelligence Platform, and contributing to the technical community. Responsibilities include hands-on evaluation, Spark programming, authoring reference architectures, and developing pre-sales skills to become a Solutions Architect. The ideal candidate will have experience working with clients, delivering technical propositions, identifying pain points, coding in Python, and knowledge in Big Data Analytics and a major public cloud platform.

Full stack software engineer role at Databricks, focusing on building and scaling the data and AI infrastructure platform, with a specific mention of the Apps Developer Experience team working on tools for agents to generate apps. The role involves front-end and back-end development for SaaS products.

Databricks is seeking a Staff Software Engineer - Backend to build infrastructure and products for their data and AI platform. The role involves working on distributed systems, at-scale service architecture, workflow orchestration, and developer experience, with a focus on delivering reliable and high-performance services for data storage and access. The ideal candidate will have extensive experience in backend development, large-scale distributed systems, and SaaS platforms.