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Senior Forward Deployed Engineer at Databricks designs and implements data & AI solutions for customers, leading architecture and delivering production systems.
Business Value Consultant at Databricks, focusing on Financial Services, partnering with sales teams to quantify ROI of data and AI solutions, drive financial impact, and build reusable financial benefit models.
Enterprise sales professional at Databricks, selling the data and AI platform to enterprise accounts, closing new and existing deals, and collaborating with CIOs and other executives. The role requires 7+ years of experience and focuses on the DNB space.
Resident Solutions Architect in Databricks' Professional Services team, supporting healthcare and life sciences clients with big data solutions using the Databricks platform. Requires 6+ years of data engineering, Spark, Python/Scala, and cloud expertise.
The Solutions Architect at Databricks is a pre‑sales technical role that works with Enterprise Account Executives to define and drive technical strategy for large enterprise accounts, focusing on data‑driven transformation and adoption of ML/AI platforms.
Senior Solutions Architect at Databricks will engage enterprise customers, develop engagement strategies, coach junior architects, and champion the Data Intelligence Platform. Requires 7+ years of technical pre‑sales experience and expertise in cloud platforms and Spark.
Resident Solutions Architect at Databricks designs big data and AI solutions for Healthcare & Life Sciences customers, providing technical consulting and support.
Resident Solutions Architect for Databricks' Public Sector team, designing and implementing big data and AI solutions for government clients, collaborating with engineering and customer teams, and providing technical leadership on data platform projects.
Senior Big Data Solutions Architect at Databricks designs and implements big data solutions for financial services clients, collaborating with engagement managers and engineering teams to deliver reference architectures and training. The role involves billable projects, technical consulting, and up to 20% travel.
Business Value Consultant at Databricks partners with Financial Services sales teams to quantify and communicate the business impact of data and AI solutions, driving measurable outcomes and building value narratives.
Enterprise Account Executive at Databricks sells the data and AI platform to financial services customers, managing full sales cycles, building relationships with CIOs and decision makers, and exceeding revenue targets.
Business Development Representative at Databricks: early-career sales role focused on pipeline, territory strategy, and technical sales for data and AI.
Staff Partner Engineer, Azure at Databricks: Lead technical liaison for Azure integrations, roadmap alignment, and cross‑company collaborations.
Staff Product Designer at Databricks leading design of AI-powered data tools and shaping a new product category, requiring 8+ years of experience.
The Director of Lakebase Sales Specialist for Financial Services will lead a regional team to grow Databricks Lakebase revenue, manage specialists, and drive enterprise sales. The role involves strategic customer engagement, pipeline development, and cross-functional collaboration.
Lead a Field Engineering team in healthcare and life sciences, driving sales and customer success for Databricks' data and AI platform.
Resident Solutions Architect at Databricks designs big data solutions for media, entertainment, and gaming clients, collaborating with engineering teams.
Senior Big Data Solutions Architect (Resident) at Databricks designs and implements big data solutions for financial services clients, providing technical leadership, architecture guidance, and project delivery. Requires 9+ years experience with Python/Scala, Spark, cloud platforms, and travel up to 20%.
Resident Solutions Architect at Databricks partners with enterprise customers to design and implement data engineering, data science, and cloud solutions, handling project scoping, architecture design, and technical support while traveling up to 30%.
Resident Solutions Architect at Databricks designs big data and AI solutions for US government clients, requiring 6+ years experience and Spark expertise.
The Senior Organizational Development Manager at Databricks will design and drive global strategies for interviewer enablement, career frameworks, and AI‑driven organizational design, influencing senior leaders and scaling impact across thousands of employees.
Solutions Engineer at Databricks in New York City, building prototypes and guiding customers on data and AI solutions.
Senior Product Manager - Technical at Databricks (NYC) leads product strategy for OLTP databases or data governance, requiring 5+ years experience.
Resident Solutions Architect at Databricks designs data architectures, integrates client systems, and supports big data projects. 6+ years experience required.
Works with clients on big data challenges using Databricks, providing data engineering, data science, and cloud solutions, designing reference architectures, and collaborating with cross-functional teams.
The Director of Lakebase Sales Specialist for Financial Services at Databricks leads a regional team to grow Lakebase revenue, modernize legacy databases, and engage enterprise customers. This role involves strategic sales leadership, team development, and cross‑functional collaboration.
Senior Fullstack Engineer will design and build intuitive AI-driven interfaces for Databricks' next-gen products. Collaborate with product, design, and engineering teams to ship scalable, user‑centric solutions in a 0‑to‑1 environment.
Staff Software Engineer - Frontend at Databricks NYC: build novel GenAI agent interfaces, collaborate with product and design, and drive product-led growth.
Staff Software Engineer on the Fullstack AI Product team in NYC will design and build novel GenAI agent interfaces, collaborating with product and design to deliver scalable AI features. This role offers a 0‑to‑1 startup experience within a major tech leader.
The Senior Organizational Development Manager at Databricks will design and lead global strategies for interviewer enablement, career frameworks, and AI‑driven organizational design, partnering with senior leaders to shape talent practices. The role requires 12‑15+ years of consulting or hyper‑growth tech experience and strong strategic influence.
The Solutions Engineer at Databricks in New York City will build prototypes and demos to help customers adopt the Lakehouse platform, collaborating closely with account teams. The role emphasizes hands‑on development, technical training, and community building.
The Specialist Solutions Architect - Data Engineering & Warehousing at Databricks guides customers through cloud data engineering and warehousing transformations, collaborating with Solutions Architects to design and optimize large‑scale data pipelines. The role emphasizes technical leadership and production‑level architecture.
Senior Specialist Solutions Architect at Databricks leading data warehousing transformations, designing pipelines, and mentoring customers.
Senior Solutions Architect for Databricks' Public Sector (SLED) team designs and leads technical solutions for government and regulated customers, partnering with sales to drive adoption of the Databricks Unified Analytics Platform. The role involves architecture consulting, proof‑of‑concept development, and presenting reference architectures to help customers achieve business value.
Staff Software Engineer role at Databricks in NYC focused on building AI Platform products. Responsibilities include creating GenAI agent interfaces, full-stack development, and driving end-to-end AI feature strategy. Requires 10+ years of experience with web technologies and generative AI.
Staff Software Engineer role at Databricks in NYC focusing on AI product development. Involves building GenAI agents and interfaces for data teams. Requires 10+ years experience in web technologies and AI products.
Senior Software Engineer role at Databricks in NYC focusing on AI Platform. Involves building GenAI agents and vertical AI applications in a 0-to-1 environment. Requires strong full-stack experience and AI/LLM knowledge.