Databricks jobs

Platform Engineer – Analytics Platform (Databricks) Omaha, Nebraska posted: Posted 15 Days Ago

Senior Engineer – Analytics Platform (Databricks) Omaha, Nebraska posted: Posted 15 Days Ago

Staff Forward Deployment Engineer Singapore CSQ426R258 As a Staff Forward Deployment Engineer (DE/AI Spike), you will be part of the Professional Services team and work with clients on short to medium term customer engagements solving their big data problems using Apache Spark™ and the Databricks Data Intelligence Platform. You will be in a customer-facing role that requires deep hands-on expertise in Apache Spark™ and data engineering, along with a variety of knowledge of the big data ecosystem. You will guide our largest customers, implementing pipelines from data engineering through model building and deployment, plus other technical tasks to help customers to get value out of their data with Databricks. You will report to the Director, Professional Services. The impact you will have: - You will guide customers as they implement transformational big data projects, including end-to-end development and deployment of industry-leading big data and AI applications - You will assure that Databricks best practices are being used within all projects and that our quality of service and implementation is strictly followed - You will facilitate technical workshops, discovery and design sessions, customer requirements gathering and scoping for new and existing strategic customers - Assist the Professional Services leader and project managers with level of effort estimation and mitigation of risk within customer proposals and statements of work - Architect, design, develop, deploy, operationalize and document complex customer engagements individually or as part of an extended team as the technical lead and overall authority - Knowledge transfer, enablement and mentoring of

Senior Software Engineer (Backend) - AI/ML Environments Mountain View, California P-78 At Databricks, we are passionate about enabling data and 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 - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As part of the ML/AI Environments team you will build the system that enables the AI researchers and engineers to set up their desired training and serving environments. You'll be joining a high-agency, high-visibility team operating at the frontier of AI infrastructure - with deep ties to research, product, and real-world enterprise use cases. Databricks Mosaic AI is one of our fastest-growing businesses helping thousands of our customers democratize AI within their organizations. We're building the infrastructure that powers the next generation of AI. The impact you will have - Build the infrastructure that enables ML and AI users to configure training and serving environments easily, reliably and reproducibly. - Collaborate with other AI infrastructure teams to build the features that customers need to get more from the Databricks platform. Examples include improving performance of setting up

Sr Staff Production Engineer- Public Sector Virginia P-1605 About Databricks 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. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don't just use the cloud; we are "cloud maximalists." Unlike most companies that treat multi-cloud as a backup strategy, we run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously. This creates a massive, high-consequence engineering surface area that requires a unique breed of Production Engineer. In this role, you won't just run our cloud environments; you will own and evolve the secure infrastructure, access patterns, and guardrails that keep Databricks' global platform safe and compliant in production. You will be responsible for the "sovereign layer" of our infrastructure, ensuring that our Data Intelligence Platform operates with 100% reliability and security in highly regulated, air-gapped, and sovereign environments. If you are an engineer who views infrastructure as a software problem and thrives on the complexity of global-scale networking, IAM,

Staff Backline Engineer - Data & AI Dallas, Texas; San Francisco, California; Vancouver, Canada 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.

Director, Product Marketing - Analytics Partners Remote, US MinIO is the industry leader in high-performance object storage and the company behind the world's fastest, most widely deployed object store, powering production infrastructure for more than half of the Fortune 500, including 9 of the 10 largest global automakers and all 10 of the largest U.S. banks. Our enterprise offering, AIStor, is engineered to handle the scale, speed, and pressure of modern AI and analytics, from terabytes to exabytes, all in a single namespace. The Director, Product Marketing - Analytics Partners will play a pivotal role in shaping how MinIO is positioned within the Databricks ecosystem and the broader hybrid analytics and AI landscape. This role combines deep fluency in the modern data lakehouse, Delta Sharing, and open table formats with hands-on product marketing ownership of MinIO's most strategic data platform partnership. You will be responsible for understanding how AIStor Table Sharing extends Databricks to on-premises data, and translating that knowledge into differentiated messaging, joint content, and go to market strategies that resonate with data and AI leaders, platform engineers, and the Databricks field teams selling alongside us. You will collaborate with Engineering, Product Management, Sales, Alliances, Corporate Development, and counterparts at Databricks to craft and deliver the narratives that position AIStor as the data platform that unlocks on-premises data for Databricks. Every on-premises table connected through AIStor is a new workload running on Databricks compute, and this role owns the messaging that makes that commercial story land with Databricks account

Global Account Manager - Pharmaceutical Industry London, United Kingdom SLSQ227R556 Do you want to help solve the world's toughest problems with big data and AI? This is what we do every day at Databricks. As a Global Account Manager for one of the largest pharmaceutical and biotechnology organisations, you will be responsible for driving the strategic relationship across regions. You will ensure the successful adoption and expansion of Databricks solutions within their global operations. You will work closely with their key stakeholders to understand business needs and challenges and leverage Databricks' technology to deliver impactful solutions. You will bring an informed and compelling point of view on Big Data, Advanced Analytics, and AI, shaping and owning account strategy to guide customers towards enterprise wide transformation using the Databricks Data Intelligence Platform. The impact you will have - Develop and execute a strategic account plan aligned to customer business objectives, industry dynamics, and Databricks' growth goals - Build and maintain trusted relationships with senior decision-makers, including C-level executives - Provide industry insight and commercial creativity to design differentiated data and AI use cases that resonate - Identify, qualify, and pursue new business opportunities within existing and new business units and brands, expanding Databricks' presence and influence across technical and business audiences. - Co-develop and deliver a business plan with internal teams and ecosystem partners that accelerates customer success along with long term strategic business objectives which are aligned with the customer. - Lead and motivate a virtual team of sales, solutions

Senior Staff Software Engineer (Backend) Bengaluru, India (P-1174) We are hiring a Senior Staff Software Engineer for Databricks' Engineering team reporting to an Engineering Leader. You will be part of the Databricks engineering organization, working with teams that develop Databricks products and features for thousands of enterprises worldwide. Key Characteristics As an executive engineering individual contributor at Databricks, you will have full ownership of the product or infrastructure direction in a major area, driving it from initial development to scalable solutions with clear business impact. You will serve as a force multiplier by elevating stability, reliability, and organizational processes, while bringing deep expertise in large-scale distributed systems. You will mentor senior engineers, contribute to recruiting, and lead high-impact company projects, often tackling complex problems beyond their comfort zone. Job Description At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high value challenges that are central to their own missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We develop and operate one of the largest scale software platforms. The fleet consists of millions of virtual machines, generating terabytes of logs and processing exabytes of data per day. At our scale, we regularly observe cloud hardware, network, and operating system faults, and our software must gracefully shield our

Staff Backline Engineer - Platform Mountain View, California; San Francisco, California P-1399 Recruiter: Stephanie Williams Hiring Manager: Ratish Maruthiyodan 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 emphasize 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: - Act as the ultimate technical escalation point, driving the resolution of the most complex, high-stakes customer issues on the Databricks Platform through deep analysis

Staff Software Engineer - Fullstack Vancouver, Canada Databricks is on a mission to simplify and democratize data and AI - 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 - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. As a Fullstack software engineer, you will work with your team and product management to make insights from data simple. We are looking for engineers that are customer obsessed, who can take on the full scope of the product and user experience beyond the technical implementation. You'll set the foundation for how we build robust, scalable and delightful products. Vancouver will be the newest R&D center for Databricks, expanding our presence in the Pacific Northwest. We are actively hiring world-class engineers to join us on our mission to democratize data + AI. We envision the Vancouver site becoming a key driver of product innovation at Databricks. To start, we're bringing a few strategic areas to the Vancouver site and we have several open roles across the teams below, including: - Log Analytics - Our customers increasingly use Databricks to analyze petabyte-scale logs in real time. This

Product Marketing Director, Lakewatch United States MKTQ227R16 Databricks is building a new generation of native applications built on the Databricks Platform that help customers unlock value from their data faster. Lakewatch is the first of these apps, giving cybersecurity, governance, and risk teams an open, agentic SIEM that unifies security, IT, and business data into a single, governed environment for AI-powered detection, investigation, and response. We are looking for a senior product marketer to own the product marketing strategy for Lakewatch and lead its next phase of growth. In this role, you will define the Lakewatch narrative, partner with product and engineering to shape the roadmap and launches, and collaborate closely with sales, partner marketing, and the broader marketing organization to drive awareness, adoption, and expansion for this first-of-its-kind motion at Databricks. This role sits within the product marketing organization and works cross-functionally with product, engineering, sales, and alliances. The impact you will have: - Hit or exceed Lakewatch pipeline and revenue goals by defining and executing the GTM strategy that drives new logo acquisition and expansion within existing Databricks customers, with clear targets for sourced and influenced pipeline, ARR, and product adoption over the first 12-24 months. - Increase Lakewatch adoption and usage across priority customer segments by establishing a compelling narrative and positioning that differentiates Databricks in cybersecurity, measurably improving win rates, deal sizes, and attach rates for security use cases. - Establish Databricks as a recognized leader in cybersecurity and security analytics by driving thought leadership, analyst

Staff Software Engineer, Search Quality Mountain View, California RDQ326R95 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. Search plays a foundational role in this mission. Whether through keyword-based retrieval, semantic similarity via vector embeddings, or hybrid approaches that combine both, our Search technologies help customers find, discover, and understand information across massive, complex datasets. These capabilities power everything from Retrieval Augmented Generation (RAG), AI assistants, and recommendation systems to enterprise knowledge management, in-product search, and data exploration. As a Staff Software Engineer for Search Quality, you will drive the technical direction of ranking, relevance, evaluation, and quality initiatives across Databricks' next-generation Search product. You'll design and build the systems, models, and evaluation frameworks that ensure our Search stack delivers accurate, high-quality results across diverse multimodal datasets and query patterns. You'll work across research, product, and infra to push the frontier of retrieval quality for enterprise AI applications - blending traditional information retrieval techniques, representation learning, and neural ranking. Beyond hands-on contributions, you will help define our long-term vision for relevance and quality, mentor senior engineers, and lead strategic efforts that raise the accuracy, reliability, and product impact of Search across Databricks. The impact you will have: - Lead the

Staff Designated Support Engineer San Francisco, California P-1011 Job Location: San Francisco Bay Area, CA As a Sr. Staff Technical Solutions Engineer and tech subject matter expert, you will partner closely with our Field and Engineering teams to deliver high-touch specialized support and tailored technical solutions for Databricks' largest and most strategic customers in the Digital Native Business (DNB) segment. In this customer-facing role, you will leverage your technical expertise in Apache Spark™ and other data technologies to triage and resolve complex product issues and unblock our customers' most critical technical challenges. The Impact You Will Have - Perform advanced Troubleshooting and Root Cause Analysis to resolve performance and reliability issues in Spark, SQL, Delta, Streaming, and Databricks runtime features using tools like Spark UI metrics, Mosaic AI Model Service, DAGs, and event logs. - Discover requirements for continuous monitoring to detect early performance issues working with R&D and NOC teams to optimize the DNB customer environments. - Build Rapid POCs, Test/Deploy/Monitor the solutions built by Databricks Engineering to address customer challenges and showcase advanced Spark/ML/AI runtime capabilities aligned with their business goals. - Develop comprehensive playbooks and maintain a knowledge base of common issues and solutions for Spark, ML, and AI workflows. - Train customer engineering and business teams on best practices in performance tuning, debugging, and effectively leveraging Databricks Features. - Pilot new best practices processes/ programs, champion process improvements, and collaborate with cross-functional teams to enhance the customer experience. - Advocate for customers in business review meetings

Staff Database Engineer Mountain View, California; New York City, New York; San Francisco, California P-1700 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 Intelligence Platform so our customers can use deep data insights to improve their business. Founded by engineers and customer-obsessed, we leap at every opportunity to tackle technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. Lakebase enables teams to deliver applications faster with an optimized database developer experience, integration with the lakehouse, and simplified operations. Lakebase provides a managed Postgres transactional layer for application state and workloads that combine operational data, analytics, and AI. We are looking for a Staff Database Engineer to help build the Lakebase product, advising software engineering teams on functional and non-functional feature designs and working with product teams to validate that designs satisfy customer requirements. You will design operational tools to simplify troubleshooting and enterprise extensions for Lakebase to meet customer security and observability requirements. You will assist field engineers with complex and demanding POC's and advise customers and field engineers on best practices for application and database design to maximize performance. What we look for: - A passion for database systems and application performance tuning - Experience building and operating

Data Engineer - Big Data, Python, Databricks CHENNAI, Tamil Nādu, India

Senior Data Engineer (AWS, Databricks) CT - Hartford posted: Posted 3 Days Ago

Manager, Big Data Architecture – Professional Services (DWH, Data Engineering & Migrations) Paris, France CSQ327R55 As Manager of Resident Solutions Architects at Databricks, you will provide strategic leadership for delivering professional services engagements to high-value Databricks customers. You will help shape the future big data and machine learning landscape for leading Fortune 500 organizations. You will report directly to the Senior Director, Professional Services in SEMEA. Part of this role will include a people-leadership capacity, responsible for core aspects of building and managing the Resident Solutions Architect team. Through your oversight and mentorship, this team will guide our largest customers, implementing pipelines spanning data engineering through model building and deployment, plus other technical tasks to help customers get value out of their data with Databricks. Beyond people leadership, your responsibilities will include owning the delivery of customer projects in your region to ensure they are managed and delivered to target and exacting standards. You will be an ambassador for Services and their value in the region, will represent the organisation in steering committees, and will work with cross-functional teams and leaders to ensure Services support the development of the local business. The impact you will have: - You will achieve regional team targets for billable utilization, hiring and revenue - You will partner with account executives, customer success and field engineering leaders while guiding Resident Solutions Architects to achieve success with professional services projects with customers - Help resolve customer concerns on strategic accounts and professional services engagements - Analyze

Databricks Tech Lead - Vice President TAMPA, Florida, United States of America

Media Data Engineer (Databricks) WARSAW PLANT & GO posted: Posted 17 Days Ago

Sr Software Engineer -Public Sector McLean, Virginia P-1366 About Databricks 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. Founded by engineers - and customer obsessed - we leap at every opportunity to solve technical challenges, from designing next-gen UI/UX for interfacing with data to scaling our services and infrastructure across millions of virtual machines. And we're only getting started. The Role At Databricks, we don't just build software for the cloud; we are "cloud maximalists." We run our platform across every region of every major cloud provider (AWS, Azure, and GCP) simultaneously, creating a technical surface area that is unique in the industry. As a Software Engineer on our Public Sector team, you will be responsible for the core backend engineering that allows our Data Intelligence Platform for the Public Sector to operate at massive scale within sovereign and air-gapped cloud environments. We are looking for world-class Software Engineers to join our core Backend Engineering teams. You will design, build, and scale the distributed systems that power one of the largest data and AI infrastructures in the world. You will tackle high-scale infrastructure challenges where "zero-waste" compute efficiency and 100% system resilience are mandatory. From optimizing massive data storage

Senior Partner Engineer, Databricks Alliance San Francisco, CA Job Summary: A Senior Partner Engineer, Databricks Alliance, is the principal technical advisor and advocate for the Sigma-Databricks partnership, both internally at Sigma and externally with Databricks. This role requires a deep, current, and comprehensive understanding of both the Sigma and Databricks products and the differentiated value they deliver together to joint customers. The Senior Partner Engineer provides technical thought leadership and strategic guidance across the partnership lifecycle, including: enabling technical sales and solution development, managing high-priority technical engagements, driving enablement for field teams, and contributing to overall revenue growth and customer success. Responsibilities: - Strategic Technical Alliance Leadership: Serve as the primary technical leader and advocate for the Sigma Computing/Databricks strategic alliance. Drive the mutual success of joint customers by ensuring seamless technical integration, optimal performance, and maximized utilization of the Databricks platform and Sigma. - Deepen and Expand Stakeholder Relationships: Cultivate and maintain robust technical relationships with key personnel at Databricks, including Product Management, Partner Leadership, Solution Engineering, and Sales teams, to ensure strategic alignment, drive co-innovation, and facilitate joint account mapping. - Joint Go-to-Market (GTM) Enablement and Execution: Proactively collaborate with Sigma's GTM teams to identify, qualify, and technically support strategic joint customer opportunities. Develop and champion compelling technical GTM solutions, reference architectures, and partner-facing enablement content (e.g., training, workshops, internal demos). - Platform Integration and Future-Proofing: Proactively identify and scope high-value joint product opportunities and facilitate the handoff to the Partner Architect team for deeper technical engagement and

Staff Software Engineer - Security Infrastructure Bellevue, Washington P-1124 Summary At Databricks, we are obsessed with enabling data teams to solve the world's toughest problems, from security threat detection to cancer drug development. We do this by building and running the world's best data and AI infrastructure platform, so our customers can focus on the high-value challenges that are central to their missions. Our engineering teams build highly technical products that fulfill real, important needs in the world. We constantly push the boundaries of data and AI technology, while simultaneously operating with the resilience, security, and scale that is critical to making customers successful on our platform. Customers trust Databricks with their most valuable data and Trust & Safety has the mission to build the most trusted data analytics and ML platform in the world. Security Engineering is an integral part of Trust & Safety and has a critical role to play in keeping customer data from bad actors. We are looking for senior leaders such as yourselves to create the vision and define the strategy for this space. The impact you will have: - Make Databricks safer for our customers by identifying and plugging key gaps in our infrastructure and services - Attract top talent from across the industry. - Represent the security engineering discipline throughout the organization, having a powerful voice to make us more data-driven - Represent Databricks at academic and industry conferences & events What we look for: - 7+ years of experience in Data Security

Python Developer (Cloud / ML / Databricks) POL - PM - GDANSK posted: Posted 30+ Days Ago