Databricks

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.

This role is for an AI Enablement Lead within the Talent & Leadership Development team at Databricks. The primary focus is on designing and scaling learning systems and programs using automation, data, and emerging AI technologies. The role involves creating AI-enabled learning experiences such as copilots, assistants, and personalized pathways, and evolving programs towards continuous, embedded development. It also includes building and experimenting with agentic learning approaches and leveraging data for analysis and iteration.

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.

Senior Manager role focused on leading a team of data scientists to optimize Databricks' infrastructure using data science and machine learning. The role involves capacity planning, performance optimization, reliability engineering, and improving infrastructure efficiency to reduce costs and enhance customer experience. It requires strong management experience and a background in data science/ML within a cloud environment.

Senior Manager role focused on leading a team of data scientists to optimize Databricks' infrastructure using data science and machine learning. The role involves capacity planning, performance optimization, reliability engineering, and improving infrastructure efficiency to reduce costs and enhance customer experience. It requires strong management experience and a background in data science/ML within a cloud environment.

Senior Product Manager for Databricks Free Edition, focusing on creating accessible and engaging learning experiences for data and AI exploration. The role involves shaping strategy, collaborating with cross-functional teams, and understanding user needs to drive product improvements.

Staff Software Engineer on the Data Platform team at Databricks, leveraging AI developer tools to build the Data Intelligence Platform for automating company-wide decision-making. Responsibilities include designing and running the platform, developing tooling for scale, partnering with engineering teams, building data pipelines, and representing Databricks at conferences.

Pre-sales Solutions Engineer for Databricks, focusing on the Retail and CPG sector. The role involves defining and directing technical strategy for enterprise accounts, driving adoption of ML & AI, and acting as the main technical voice for clients. Requires strong background in value selling, technical account management, and understanding ML & AI use cases.

This role focuses on supporting customers in debugging and maintaining stable production data pipelines and AI workflows on the Databricks platform. The engineer will provide initial analysis, troubleshooting, and resolution for data engineering and AI workloads, perform deep dives into code-level analysis, and contribute to product improvements.

Databricks is seeking a Staff Software Engineer for their Money Team to work on billing, usage data, and cost optimization tools. The role involves designing and managing systems for commercializing Databricks products, developing pricing strategies, and enhancing engineering efficiency. A key aspect is using AI and LLMs for cost insights and optimization, leveraging the Databricks Data + AI platform.

Databricks is seeking a Staff Data Scientist to join their Data Team, focusing on building data-driven products and tooling to inform decision-making and integrate with their core platform. The role involves applying Data Science/ML in production, collaborating with stakeholders, and mentoring junior scientists.

Solutions Architect role focused on Databricks platform for digital native customers, involving technical leadership, architecture consultation, proof-of-concept implementation across data engineering, data science, and ML workflows, and promoting open-source projects.

Solutions Architect for Databricks in the Retail/CPG sector, focusing on pre-sales and technical strategy to drive ML & AI adoption within large enterprises. The role involves leading technical strategy, building customer relationships, and understanding ML/AI use cases to promote Databricks products.

Solutions Architect for Databricks, focusing on helping large enterprises become more data-driven by defining and directing technical strategy for accounts, leading to wider adoption of ML & AI. This role involves value selling, technical account management, and technical leadership, working closely with Enterprise Account Executives.

This role is for a Sr. Solutions Architect in the Retail sector, focusing on pre-sales and technical strategy for large enterprise accounts. The primary goal is to drive adoption of Databricks' products, including ML & AI capabilities, by helping customers become more data-driven. While the role requires a strong understanding of ML & AI applications, the core function is pre-sales and technical account management, not direct ML model development or deployment.

Solutions Architect role focused on pre-sales for large enterprises, driving adoption of Databricks' ML & AI products. The role involves defining technical strategy, building relationships with executives, and understanding the application of ML & AI in various use cases. While not directly building models, a strong technical understanding of ML & AI is required.

Solutions Architect role at Databricks focused on leading customer adoption of the Databricks Unified Analytics Platform, including data engineering, data analytics, data science, and machine learning solutions. Responsibilities include identifying use cases, developing architectures, guiding implementations, and partnering with sales.

Solutions Architect for Databricks, focusing on emerging enterprise clients. This role involves leading customer adoption of the Databricks Unified Analytics Platform, consulting on big data architecture, implementing proof of concepts for data science and machine learning projects, and guiding customers through implementations. The role requires technical leadership, strong communication skills, and expertise in data engineering, data analytics, data science, and machine learning technologies, with a focus on open-source projects like Apache Spark, MLflow, and Delta Lake.

Solutions Architect for Databricks in the Retail sector, focusing on pre-sales and technical strategy for large enterprise accounts. The role involves driving adoption of ML & AI, leading technical strategy, and acting as the main technical voice for clients, leveraging expertise in data-driven transformation and big data technologies.

Solutions Architect for Databricks' Digital Natives team, focusing on big data, data engineering, data science, and machine learning solutions. The role involves collaborating with customers and internal teams to design architectures, implement proof-of-concepts, and provide technical leadership using the Databricks platform and APIs. Expertise in either Data Engineering or Data Science/ML technologies is required.

Solutions Architect at Databricks to partner with customers in designing scalable data architectures using Databricks technology. This role involves driving technical discussions, establishing the Databricks Lakehouse as a standard, building reference architectures, and proving out Databricks technology for customer projects. The role also involves promoting Databricks open-source projects.

Databricks is seeking a Staff Data Scientist to help build a data-driven culture and solve product/business challenges using their Data Intelligence Platform. The role involves shaping data science areas like segmentation and recommendation systems, working with cross-functional teams, and building self-serving internal data products. Requires 7+ years of experience in data science/ML, product data science, and proficiency in tools like Spark, Python, and SQL.

This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required.

This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required.

This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required.

This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required.

This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required.

Manager, Field Engineering for Healthcare and Life Science at Databricks, leading a pre-sales Solutions Architect team focused on Greenfield Accounts. The role involves guiding teams to solve complex challenges using Databricks' Data Intelligence Platform, supporting sales cycles, and accelerating adoption of modern data and AI capabilities in healthcare and life sciences. Requires leadership in enterprise software, big data/analytics, data engineering, and data science.

Databricks is seeking a Sr. Corporate Development Associate/Manager to identify and execute acquisitions and strategic investments to support their corporate and product strategy. This role involves end-to-end transaction management, including due diligence, material preparation, and post-close integration planning. The associate will also build relationships within the ecosystem to originate opportunities and enhance team efficiency.

This role is for a Sr. Technical Program Manager within Databricks' Professional Services team, focusing on the Digital Native Business (DNB) customer base. The primary responsibility is to ensure the successful delivery of complex customer engagements by providing technical leadership and guidance to implementation teams. While not a hands-on coding role, it requires strong technical acumen to guide architectural decisions, manage risks, and deliver high-quality project outcomes. The role involves managing scope, schedule, budget, and resources, acting as a primary escalation point for technical delivery issues, and building trust with technical teams and stakeholders.

This role is a Senior Engagement Manager within Databricks' Professional Services organization, focusing on the Latin America region. The primary responsibility is to act as a trusted advisor to customers, leading large, complex programs for successful implementation and value realization of Databricks' Data Intelligence Platform. This involves strategic leadership, driving sales of Professional Services & Training programs, identifying upsell/cross-sell opportunities, and ensuring customer satisfaction. The role requires extensive experience in professional services, customer-facing roles, and a strong understanding of Databricks' offerings and architecture.

Technical Program Manager for Professional Services at Databricks, focusing on LATAM customer engagements. The role involves technical leadership, guiding architectural decisions, risk mitigation, and managing project scope, schedule, budget, and resources. While not hands-on coding, technical acumen is crucial for guiding complex engagements and ensuring successful delivery of Databricks' Data Intelligence Platform.

This role is for a Lead Engagement Manager in Professional Services focused on Digital Native Business customers. The role involves scoping and leading complex, multi-quarter initiatives, driving regional impact, mentoring junior staff, shaping account strategy, and building strategic customer relationships. Expertise in Databricks architecture and strategic account planning is required.

Sales Specialist for Databricks' Lakewatch platform, focusing on modernizing SIEM with an open, agentic platform for AI-driven security. The role involves hitting ARR targets, replacing legacy tools, and establishing Lakewatch as a strategic security data platform. Requires extensive enterprise SaaS sales experience, success selling security/observability platforms, and strong value-selling skills.

This role is for a Strategic Enterprise Account Executive focused on selling Databricks' Lakewatch platform, which is described as an open, agentic platform for security teams to modernize SIEM with AI-driven detection and response. The role involves hitting sales targets, replacing legacy SIEM tools, and establishing Lakewatch as a strategic security data platform. It requires extensive enterprise SaaS sales experience, particularly in security or observability platforms, and the ability to sell to both technical and business stakeholders.

This role is for a Technical Program Manager at Databricks, focusing on professional services to accelerate customer adoption of big data and AI solutions. The TPM will manage commercial delivery of services, scope projects, mitigate risks, track milestones, and manage finances for engagements across the ASEAN and Greater China regions. The role requires experience in managing large-scale enterprise projects, ideally in the big data and analytics domain, with a strong commercial focus and project management certifications.

Core Enterprise Account Executive for Databricks in the Nordics, focusing on driving consumption growth and identifying new use cases within a territory of ~10 large enterprise accounts. Requires strong sales experience, understanding of the consumption sales process, and ability to communicate product value.