Databricks

Professional Services role focused on helping clients implement and adopt the Databricks platform for big data and AI applications, involving architecture design, data engineering, and technical project delivery.

Databricks is seeking a Forward Deployed Engineer to embed with strategic customers, design and deliver custom full-stack applications and solutions on the Databricks Data Intelligence Platform. This role involves owning the architecture, leading design decisions, and implementing end-to-end systems that span data engineering, AI, and application development, focusing on driving measurable business outcomes.

This role is a Delivery Solutions Architect at Databricks, focused on being a trusted technical advisor to key customers. The primary responsibility is to translate data, analytics, and AI challenges into business value by designing, implementing, and scaling solutions on the Databricks platform. It involves a hybrid technical and commercial approach, focusing on architecture, operational excellence, and customer enablement, with a goal to drive adoption and growth within assigned accounts. While not a hands-on coding role, it requires strong technical skills in data architecture, engineering, warehousing, or data science, and experience in customer-facing technical roles.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements to help them leverage the Databricks platform for big data and AI challenges. Responsibilities include designing and building reference architectures, productionalizing use cases, and guiding customers in implementing transformational projects. The role requires strong data engineering, data science, and cloud expertise, with experience in distributed computing (Spark) and MLOps.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing and building reference architectures, productionalizing use cases, and consulting on architecture and design for big data and AI applications. While the role involves working with AI applications and MLOps, its core function is in data engineering and platform integration rather than direct AI/ML model development.

Manager, Field Engineering for Databricks in Latam, leading a team of Solutions Architects to drive technical sales, increase revenue, and ensure customer success with Databricks' platform, which includes generative AI capabilities. The role focuses on hiring, training, and enabling the team, maintaining technical expertise, and fostering cross-functional relationships.

Director, Field Engineering role in Benelux to lead pre-sales Solutions Architects, focusing on complex accounts and driving expansion across various industries. The role involves partnering with sales, coaching teams, and building customer relationships to promote Databricks' data and AI platform.

Partner Solutions Architect role focused on enabling partners to leverage the Databricks Data Intelligence Platform for data-driven outcomes, involving technical enablement, workshops, and solution development using technologies like Apache Spark, MLflow, and Delta Lake.

This role is for a Sr. Resident Solutions Architect on the Professional Services team, focusing on helping clients with big data challenges using the Databricks platform. Responsibilities include data engineering, data science, and cloud technology projects, integrating with client systems, and providing technical guidance for customer engagements. The role involves designing and building reference architectures, productionalizing use cases, and consulting on architecture and design for big data and AI applications. While the company is in the AI space and the role touches on AI applications, the core function is big data solutions architecture and professional services, not direct AI/ML model development or research.

This role is a Senior Delivery Solutions Architect at Databricks, focused on accelerating customer adoption and maximizing the value they get from the Databricks Data Intelligence Platform. It's a hybrid technical and commercial role, involving customer engagement, technical leadership, and driving growth by ensuring successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility across Databricks products and collaboration with various internal teams.

Solutions Architect at Databricks focused on leading the growth of the Databricks Data Intelligence Platform within the Financial Services sector. This role involves partnering with sales, providing technical leadership, consulting on big data architecture, executing proofs of concept, and building reference architectures. The role emphasizes expertise in cloud platforms, data engineering, data analytics, and machine learning/AI, utilizing open-source projects like Spark, Delta Lake, and MLflow.

Product Manager for Databricks Repos, focusing on the source control and workflow foundation for data and AI teams. The role involves driving the vision and roadmap for developer experience, integrating with Git providers, and building AI-assisted code management features to simplify authoring to production journeys for data and AI applications.

Databricks is seeking a Forward Deployed Engineer to embed with strategic customers, design and deliver custom full-stack applications and solutions on the Databricks Data Intelligence Platform. This role involves owning the architecture, leading design decisions, and implementing end-to-end systems that span data engineering, AI, and application development, focusing on driving measurable business outcomes.

Solutions Architect role focused on pre-sales for Databricks' data and AI platform, helping large enterprises adopt ML & AI solutions. The role involves defining technical strategy, leading customer transformations, and building technical champions within accounts, requiring a strong understanding of ML & AI applications in High Tech and Manufacturing.

This role is for a Sr. Manager of Field Engineering focused on the Agencies segment, leading a team of Solution Architects. The primary focus is on accelerating customer value from data and AI initiatives within the advertising and media industry, partnering with sales to drive revenue and ensure customer success. The role requires strong technical understanding of data, AI, and the advertising ecosystem, as well as leadership experience in managing technical pre-sales teams.

Solutions Architect for Databricks, focusing on pre-sales and technical strategy for large enterprise accounts in High Tech and Manufacturing. The role involves driving adoption of Databricks' ML & AI products, working with sales teams, and understanding the relevance of ML & AI use cases. Requires technical depth in big data, data science, and cloud, with programming experience.

Databricks is seeking a Director of Engineering, Governance Foundation to define and scale security, privacy, and responsible data practices within their products and infrastructure. This role involves leading a team of senior security engineers, designing governance frameworks, and ensuring secure and compliant product development in a rapidly growing, multi-cloud environment. The focus is on embedding security and privacy into engineering workflows, establishing incident learning processes, building a security champions network, and ensuring responsible data use across AI/ML systems.

Databricks is seeking a Director of Engineering, Governance Foundation to define and scale security, privacy, and responsible data practices within their Lakehouse Platform. This role involves designing engineering platforms, guardrails, and operating models to ensure secure and compliant product development. The Director will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape foundational governance systems, with a focus on data governance for AI/ML systems and developer-centric security enablement.

This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, collaborating with sales and field engineering teams to guide customers through onboarding, enablement, and healthy consumption of Databricks workloads. The role involves managing technical account strategy, resolving production issues, coordinating with internal teams and professional services, and navigating product/engineering for innovations. While the company is in the AI space and the role touches AI workloads, the core function is customer-facing technical account management and solution delivery, not direct AI/ML model building or research.

Sr. Staff Software Engineer on the Money team at Databricks, focused on building and managing billing, usage, pricing, and cost optimization systems. The role involves leveraging Databricks' Data + AI platform and using AI/LLMs for cost insights and optimization.

This role focuses on organizational development and designing structures for human-AI collaboration within an AI-first company. It involves creating strategies for interviewer enablement, career frameworks, and optimizing hiring processes, with a strong emphasis on understanding and adapting to the impact of AI on job roles and workflows.

Senior Product Manager for Databricks Free Edition, focusing on creating accessible and engaging learning experiences for data and AI exploration. Collaborates with cross-functional teams, partners with academic institutions, and gathers user insights to drive product improvements. Defines success metrics for learning engagement.

Backend Senior Software Engineer for Databricks' AI/ML Environments team, focusing on building the infrastructure for AI training and serving environments. The role involves collaborating with other AI infrastructure teams, interacting with customers and product managers, and shaping how developers interact with AI on Databricks.

Staff Fullstack Engineer to build end-to-end, AI-powered applications for internal business workflows, focusing on defining technical roadmaps, system design, and engineering leadership.

Senior Staff Fullstack Engineer to build end-to-end, AI-powered applications for internal business workflows, focusing on technical leadership, roadmap definition, and engineering excellence within the Enterprise Applications team at Databricks.

Solutions Architect for Databricks' Healthcare/Life Sciences team, focusing on pre-sales and driving adoption of ML & AI within large enterprise accounts. The role involves defining technical strategy, leading customer transformations, and building technical champions, requiring a strong understanding of big data, data science, and cloud technologies, particularly in the HLS space.

Global Head of Technical Scale and Strategy for Field Engineering at Databricks, focusing on defining and executing strategies to drive scale, productivity, and technical excellence. The role involves shaping operating models, leveraging AI and automation for efficiency, and collaborating across Product, Sales, Finance, and engineering teams. It requires deep technical understanding of field engineering, enterprise solutions, and technology strategy, with a strong emphasis on influencing distributed teams and driving organizational change.

Pre-sales Solutions Architect for Databricks in the Retail and CPG sector, focusing on driving customer adoption of ML & AI solutions and becoming data-driven. The role involves technical strategy, value selling, and technical account management, working closely with Account Executives and hands-on resources.

Fullstack engineer to build new vertical AI applications using Databricks platform, focusing on UI/UX for GenAI agents and complex visualizations. This is a 0-to-1 role in a startup-like environment within a larger company, requiring a UI-first and GenAI-first approach.

Lead Security Architect for Databricks IT, responsible for designing and implementing secure and scalable architectures across cloud, SaaS, and custom applications, with a focus on IAM, Zero Trust, endpoint security, and securing critical business applications and sensitive data. The role also involves building proactive security strategies, securing modern platforms (AWS, Azure, GCP), establishing least privilege, and contributing to the internal strategy for secure AI development.

This role focuses on defining and executing the strategy for integrating learning consultancy expertise with AI tools to drive accelerated enablement growth. The Senior Program Manager will own the Scaled Customer Enablement Agent Suite, providing Account Teams with insights to improve account health and increase trained users. The role involves automating strategic processes, transforming training into a business driver, and streamlining the customer experience.

Databricks is seeking a Sr. Staff Software Engineer to join their Data Platform organization. This role will leverage AI developer tools and techniques to build the Data Intelligence Platform, automating decision-making across Databricks. The engineer will define the future of tools spanning logging, orchestration, data transformation, metric store, governance, and data consumption. Responsibilities include designing and running the Data Intelligence Platform, developing tooling for Databricks on Databricks at scale, partnering with tech leaders, acting as customer 0, and representing Databricks at conferences. The ideal candidate has 15+ years of experience in large-scale distributed systems, 6+ years of technical leadership in production data systems, and experience with performance-sensitive systems.

Solutions Architect role at Databricks focused on leading the adoption of the Databricks Unified Analytics Platform. This customer-facing role involves partnering with sales, providing technical leadership, consulting on big data architecture, implementing proof of concepts for data science and ML projects, and building reference architectures. The role also involves promoting open-source projects like Spark, MLflow, and Delta Lake. Requires experience in distributed data systems, programming in Python/Scala/Java/R/SQL, and supporting Public Sector clients. Experience with cloud providers (AWS, Azure, GCP) and Data Engineering technologies is expected.

This role is a Sr. Solutions Architect focused on designing and implementing data architectures using Databricks technology for customers. It involves partnering with sales, engaging with technical leads, building reference architectures, and consulting on data engineering and machine learning projects. The role also promotes open-source projects like Spark, Delta Lake, and MLflow.

Fullstack Software Engineer role at Databricks, focusing on building and enhancing AI/BI products, log analytics, and AI enablement features for their data and AI platform. The role involves working on the full stack to create scalable and delightful products, with a specific mention of investing in app builder AI agents.

Databricks is hiring a Senior Software Engineer for their new Vancouver R&D center. This role will focus on building and scaling their data and AI infrastructure platform, specifically contributing to areas like Log Analytics, AI/BI, Unity Catalog Business Semantics, and Databricks Apps. The role involves developing large-scale distributed systems and working with cloud technologies to enable customers to leverage data insights and AI.

Solutions Architect for Databricks' Healthcare/Life Sciences team, focusing on pre-sales and driving adoption of ML & AI within large enterprise accounts. The role involves defining technical strategy, leading customer transformations, and building technical champions, requiring a strong understanding of big data, data science, and cloud technologies, particularly in the HLS space.

Senior Security Engineer on the Incident Response team at Databricks, responsible for responding to security threats, incidents, and investigations. The role involves conducting security analysis and forensics, responding to high-priority alerts, and contributing to automations and agentic capabilities to scale incident response.

Product Manager to lead Content Experience strategy, owning how users discover, learn from, and act on content across documentation, in-product help, and AI-assisted guidance. The role involves defining the future of content by treating it as a first-class product experience and integrating content development into product development, including driving improvements to content tooling and workflows, building an architecture of participation for subject matter experts, and applying generative AI to content authoring and delivery.

Product Manager to lead Content Experience strategy, owning how users discover, learn from, and act on content across documentation, in-product help, and AI-assisted guidance. The role involves treating content as part of the product, driving improvements to content tooling and workflows, building participation architecture, integrating AI for content transformation, defining metrics, and collaborating cross-functionally. Familiarity with AI technologies (especially LLMs) and their application to content is required.

Senior Software Engineer on the Money team at Databricks, focusing on billing, usage ingestion, metering, pricing, and cost optimization. The role involves using Databricks Data + AI tools, including AI and LLMs, to innovate in cost insights and optimization, and to commercialize Databricks products.

Product Manager for Databricks SQL (DBSQL), a next-generation AI-powered cloud data warehousing product. The role focuses on driving innovation, shaping the roadmap, and leading DBSQL's growth by defining product vision, strategy, and roadmap, working with engineering, design, sales, and marketing, and engaging with customers. Requires 5+ years of PM experience, understanding of SQL, data warehousing, BI, and analytics use cases.

This role focuses on building and defining the ecosystem strategy for Databricks' Data Intelligence Platform, enabling partners and developers to integrate and scale applications. It involves developing frameworks, APIs, and tools to enhance customer integration of AI and data capabilities, and collaborating cross-functionally to align technical roadmaps with business goals.

Pre-sales Solutions Architect role focused on driving adoption of Databricks' data and AI platform within large enterprises. The role involves defining technical strategy, leading customer transformations, and building technical champions, requiring a strong understanding of ML & AI applications in various use cases.

Senior Full-Stack Software Engineer to join a team building a GenAI observability and quality product. The role involves full-stack development, UI/UX design, backend API development, collaboration, and performance optimization. The product provides advanced monitoring and insights for GenAI systems, using technologies like AutoML/AutoRag, LLM fine-tuning, and Prompt Optimization.

Databricks is seeking a Senior Software Engineer to lead the development of products for AI and data observability. This role involves building data infrastructure to process billions of entries daily, deploying globally, and enabling companies to manage their DevOps, FinOps, SecOps, and AIOps. The engineer will lead technical development, mentor others, optimize scalability and cost, and drive integrations.

Sr. Product Manager for Unity Catalog, a metadata and governance foundation for the Databricks Lakehouse. The role involves defining and launching new governance and security capabilities, building platform services for data & AI product teams, and driving features from ideation to launch with a focus on customer adoption and market insights.

Staff Designated Support Engineer role focused on providing specialized support and technical solutions for Databricks' largest customers. Responsibilities include advanced troubleshooting of Spark, SQL, Delta, Streaming, and Databricks runtime features, building POCs for AI/ML capabilities, developing playbooks, and training customer teams. Requires deep expertise in Big Data, Spark, ML/AI ecosystems, cloud platforms, and customer-facing experience.