Databricks jobs

Staff Software Engineer - Backend Bellevue, Washington P-940 (Position Location is open to both our Seattle & Bellevue offices.) 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. Founded in 2013 by the original creators of Apache Spark™, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. 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. 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 customers from any of the above. As a software engineer with a backend focus, you will work closely with your team and product management to prioritize, design,

Delivery Solutions Architect - Healthcare & Life Sciences United States CSQ327R23 At Databricks, we are on a mission to empower our customers to solve the world's toughest data problems by utilizing the the Databricks Data Intelligence Platform. As a Delivery Solutions Architect (DSA), you will play an important role during this journey. You will collaborate with our sales and field engineering teams to accelerate the adoption and growth of the Databricks platform in your customers. You will also help ensure customer success by increasing focus and technical accountability to our most complex customers who need guidance to accelerate usage on Databricks workloads that they have already selected, helping them maximise the value they get of our platform and the return on investment. This is a hybrid technical and commercial role. It is commercial in the sense that you will drive growth in your assigned customers and use cases through leading your customers' stakeholders, building executive relationships, orchestration of other focused/specialized teams within Databricks, and creating and driving plans and strategies for Databricks colleagues to build upon. This is in parallel to being technical, with expectations being that you become the post-sale technical lead across all Databricks products. This requires you to use your skills and technical credibility to engage and communicate at all levels with an organisation. You will report directly to a DSA Manager within the Field Engineering organization. The impact you will have: - Engage with Solutions Architects to understand the full use case demand plan for prioritised

Software Engineer - Fullstack Amsterdam, Netherlands P-1320 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. Unlike traditional enterprise software, we design and build modern SaaS products that bring delight to all of the stakeholders: decision makers, admins, and end users. As a full stack software engineer, you will work closely with your team and product management to bring that delight through great user experience. Below are some example teams you can join: SQL Analytics Console: SQL Analytics is a new product that provides Databricks customers with a first-class experience for performing Business Intelligence (BI) and running SQL workloads directly on the data lake. Our team builds the "console" for SQL Analytics, where users configure, manage and monitor their SQL usage. Jobs and Workflows: This team powers all asynchronous customer workloads for Databricks which is the majority of Databricks usage. As this usage has rapidly increased - we've rearchitected the system for increased stability and scalability. We are also

Ingénieur Data - Databricks F/H MONTPELLIER,FRANCE Orange Business est un intégrateur réseau et numérique qui comprend toute la chaîne de valeur du monde digital, permettant à nos clients de se concentrer sur les initiatives stratégiques qui font avan...

Senior Data Scientist Mountain View, California; San Francisco, California 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. Founded in 2013 by the original creators of Apache Spark, Databricks has grown from a tiny corner office in Berkeley, California to a global organization with over 1000 employees. Thousands of organizations, from small to Fortune 100, trust Databricks with their mission-critical workloads, making us one of the fastest growing SaaS companies in the world. 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. 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 customers from any of the above. As a Data Scientist on the Data Team, you will help build a data-driven culture within Databricks by helping solve product and business challenges. The Data team also functions as a

Systems Manager - C3.ai & Azure Databricks, Enterprise Data & Analytics New York, NY, United States Systems Manager - C3.ai & Azure Databricks, Enterprise Data & Analytics

Sr. Software Engineer - Backend Aarhus, Denmark P-1343 As a software engineer with a backend focus, you will work with your team to build infrastructure for the Databricks platform at scale. The impact you'll have: Our backend teams cover a diverse range of domains, from core compute fabric resource management to service platforms and machine learning infrastructure. For example, you might work on challenges such as: - Supporting Databricks' growth by building foundational infrastructure platforms that enable seamless operation across numerous geographic regions and cloud providers. - Implementing cloud-agnostic infrastructure abstractions to help Databricks engineers more efficiently manage and operate their services. - Develop tools and processes that drive engineering efficiency at Databricks. We enhance the developer experience for Databricks engineers across various areas, including programming languages, linters, static analysis, IDEs, remote development environments, automated release pipelines, and test automation frameworks. Our current focus is on optimizing the Rust development experience across the organization. What we look for: - 5+ years of professional software development experience. - Bachelor's degree or higher in Computer Science, a related field, or equivalent experience. - Proficiency in one or more backend languages such as Java, Scala, or Go. - Hands-on experience in developing and operating large-scale, critical distributed backend systems. - Demonstrated leadership throughout all project phases, from inception and design to implementation and operations. - Self-driven and passionate with a strong focus on delivering impact through team collaboration. - Strong communication skills, both written and verbal, with the ability to produce clear technical

Systems PhD - Software Engineer Bellevue, Washington; Seattle, Washington P-1299 Databricks is radically simplifying the entire data lifecycle, from ingestion to generative AI and everything in-between. We're doing it cross-cloud with a unified platform, currently serving over 10k customers, processing exabytes of data/day on 15+ million VMs, and growing exponentially . To make it happen we're building multi-cloud systems at every corner of the data ecosystem, from query engines, vector databases, training pipelines, and storage systems, down to the infrastructure that allows them to scale like auto-sharders, caches, and load balancers, just to name a few. We also build and support the tooling, languages, and stacks that bring it together. Basically, we do it all. The space we work in and the problems we solve are massive, complex, and very deep (our published work on Lakehouse , Delta lake , and Photon are a testament to that). We're looking for practitioners who are eager to work with the best in industry to push the boundaries of what's possible for our customers. If you're truth seeking, data driven, and love to operate from first principles (head fake: our core values ), then Databricks is the place for you. As a part of the Database Engine team, there are opportunities to design and implement in many areas that leapfrog existing state-of-the-art systems: - Query compilation & optimization - Distributed query execution and scheduling - Vectorized engine execution - Data security - Resource Management - Transaction coordination - Efficient storage structures (encoding, indexes)

Technology Lead - Databricks Data Engineering Job Description Today, the corporate landscape is dynamic and the world ahead is full of possibilities! None of the amazing things we do at Infosys would be possible without an equally amazing culture, the environment where ideas can flourish and where you are empowered to move forward as far as your ideas will take you. At Infosys, we assure that your career will never stand still, we will inspire you to build what's next and we will navigate further together. Our journey of learnability, values and trusted relationships with our clients continue to be the cornerstones of our organization and these values are upheld only because of our people. Required Skills (Must Have) - Hands-on experience with Databricks (notebooks, clusters, jobs, Delta Lake). - Strong understanding of ETL/ELT processes . - Experience with Python or SQL . - Good understanding of cloud platforms (Azure, AWS, or GCP). - Knowledge of Delta Lake features (ACID transactions, time travel, schema evolution). - Familiarity with data warehousing concepts . - Ability to work with large datasets and optimize performance. - Strong debugging and problem‑solving skills. Preferred Skills (Good to Have) - Experience with streaming systems (Auto Loader, Structured Streaming). - Knowledge of CI/CD workflows (Git, DevOps pipelines). - Experience with orchestration tools (Azure Data Factory, n8n, etc.). - Understanding of lakehouse architecture. - Exposure to ML workflows or MLOps. Qualifications - 2-6 years of experience in data engineering or analytics. - Certifications in Databricks, Azure, AWS, or

Senior Data Developer - Azure Databricks+cosmos DB + SQL + ETL+SSIS CHENNAI, India Job Title: Senior Data Developer - Azure ADF and Databricks. Experience Range: 8-12 Years. Location: Chennai, Hybrid. Employment Type: Full-Time. About UPS. UPS is a global leader in logistics, offeri...

Principal Data Engineer - Databricks WA-SeaTac, UNAVAILABLE, USA Company Alaska Airlines The Team Guided by our purpose, core values, and leadership principles, we are creating an airline people love. Our corporate teams set the strategies and operational plans to ensure the success of our company. Whether we use our expertise in accounting, human resources, finance, planning, legal, marketing, or any of our operational divisions, our shared passion for travel and our guests is what motivates us to achieve excellence each day. If you share our passion for creating an airline people love, we want to hear from you. Role Summary The Principal Data Engineer is the sole subject matter expert in designing, optimizing, implementing and advancing Alaska Air Group's Enterprise Data platform using Databricks. As an individual contributor, this role defines long-term strategy for driving innovation, mentoring teams, partnering on the best technical implementation of Databricks, and ensuring the platform is scalable, secure, and aligned with Business and ITS goals. Key Duties Act as lead subject matter expert in designing and implementing high-performance batch or real-time data pipelines using Apache Spark, Delta Live Tables, and Structured Streaming on Databricks. Collaborate with data scientists, analysts, and engineering teams to deliver robust, production grade solutions. Define and enforce best practices for workspace governance, job orchestration, and CI/CD integration. Optimize cluster configurations, spark parameters, and job execution plans

Technical Team Lead (AWS & Databricks) Reston, Virginia, United States of America Embrace the role of a Technical Team Lead, driving the design and delivery of scalable data and analytics solutions in a cloud environment. Lead cross-functional Agile teams, manage AWS and Databricks deployments, and ensure high-quality, timely solutions for federal clients. Shape the future of data engineering with us in a dynamic, hybrid role.

Lead GTM Enablement & Scale Architect, Lakebase United States SLSQ227R703 Lead GTM Enablement & Scale Architect - Lakebase, Field Engineering About Databricks More than 10,000 organizations worldwide - including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. The Impact You Will Have Lakebase is Databricks' managed, serverless PostgreSQL database built for AI applications and agents - a category-defining product that bridges transactional, analytical, and AI workloads on a single governed platform. This is a founding enablement role . You won't be inheriting a playbook - you'll be writing it. You will own the end-to-end enablement strategy that takes Lakebase from early adoption to a product every Solutions Architect in the field can confidently qualify, position, demo, and defend in competitive situations. You will be the connective tissue between the Lakebase Product team and a global field of SAs and Partner Technical Sales - translating product capabilities into customer outcomes, and representing the field-readiness voice in Product forums where the story is unclear, where SAs stumble on positioning, where the demo surface needs to tighten before it reaches the field. What You'll Do - Own the global GTM and enablement strategy for Lakebase for Field Engineering and Partner Technical Sales - from foundational knowledge through advanced competitive

Databricks Engineer US - VA, Arlington posted: Posted Today

Lead Databricks Consultant - Strategic Solution Architecture USA Work at Home posted: Posted 9 Days Ago

Solutions Architect - Montreal Montréal, Canada While candidates in the listed locations are encouraged for this role, we are open to remote candidates in other locations in Canada Location: Montreal, QC As a Solutions Architect at Databricks within the Field Engineering org you will partner with our customers to design scalable data architectures using Databricks technology and services. You have technical depth and business knowledge and can drive complex technology discussions which express the value of the Databricks platform throughout the sales lifecycle. In partnership with our Account Executives, you will engage with our customers' technical leads, including architects, engineers, and operations teams with the goal of establishing yourself as a trusted advisor to achieve tangible outcomes. You will work with teams across Databricks and our executive leadership to represent your customer's needs and build valuable customer engagements and report to the Field Engineering Manager. The impact you will have: - You will work with Sales and other essential partners to develop account strategies for your assigned accounts to grow their usage of the platform. - Establish the Databricks Lakehouse architecture as the standard data architecture for customers through excellent technical account planning. - You will build and present reference architectures and demo applications for prospects to help them understand how Databricks can be used to achieve their goals to land new users and use cases. - Capture the technical win by consulting on big data architectures, data engineering pipelines, and data science/machine learning projects; prove out the Databricks technology

Staff Product Designer, AI Products New York City, New York RDQ327R178 At Databricks, we design tools that make complex data workflows intuitive and powerful. Our mission is to simplify how data is connected, understood, and activated so that organizations can turn information into business outcomes. Designers at Databricks blend strong visual craft with systems thinking, shaping products that support some of the most advanced data teams in the world. We're hiring a Staff Product Designer to help build a new product category at Databricks. You will help shape agent-driven experiences that make the power of the Lakehouse accessible to a broader set of users. This will be a true 0-to-1 environment, combining the excitement of a startup with the resources of a tech leader like Databricks. The impact you will have - Drive key product and design initiatives within a strategic new product area at Databricks, helping organizations activate and operationalize their data at scale. - Define a new generation of agent-driven workflows that help users move seamlessly from data and insights to decisions and action. - Collaborate closely with product management, engineering, and leadership to shape the future of business applications on the Databricks platform. - Design intuitive user experiences that simplify complex workflows while preserving the flexibility and power required by enterprise organizations. - Develop a deep understanding of Databricks business objectives, customer needs, emerging AI capabilities, and the evolving data and technology landscape. - Conduct user research to identify customer needs, pain points, and opportunities related to

Sr. Product Manager, DBSQL Seattle, Washington RDQ226R484 Build the Future of Data & AI with Databricks SQL At Databricks, we are delivering Data & AI for enterprises & startups around the world. Our Databricks SQL (DBSQL) product is at the forefront of next-gen AI powered cloud data warehousing , helping businesses query, visualize, and drive real-time decisions at scale. DBSQL is the fastest-growing data warehouse in the world. Read this seminal blog from Databricks co-founder on What is a Lakehouse ? We're looking for a passionate, strategic, and customer-obsessed Product Manager to drive innovation, shape our roadmap, and lead DBSQL into its next phase of growth. Why Join Us? - Be a Game-Changer: Work on a cutting-edge product that transforms how companies handle big data and AI-driven analytics . - Massive Impact: Help enterprises make faster, smarter decisions with a lakehouse architecture that breaks silos. - Hyper-Growth Environment: Join a fast-paced, collaborative team where your ideas directly shape the future. - Customer-Centric Innovation: Build features that solve real problems for data analysts, engineers, and business leaders worldwide. The impact you will have: - Own and define the product vision, strategy, and roadmap for Databricks SQL - Work closely with engineering, design, sales, and marketing to launch new features and drive adoption. - Engage directly with customers and partners to understand their needs and prioritize high-impact solutions. - Drive competitive differentiation and positioning in the cloud data warehouse market. - Collaborate with leadership to align product initiatives with business goals. -

Solutions Architect - Emerging Enterprise United States P-344 At Databricks, our customers challenge us with solving some of the world's toughest data problems. Our customers rely on our Solutions Architect team to understand the technologies that power our platform, the broader cloud and technology ecosystems, and how they can all be brought together to solve these problems. Solutions Architects at Databricks lead the adoption of the Databricks Unified Analytics Platform. As a member of our team, you will sharpen your skills on open-source projects such as Apache Spark™, MLflow, and Delta Lake to advocate the Lakehouse paradigm on public cloud providers. You will gain expertise in cloud platforms, data engineering, data analytics, data science, and machine learning. In this customer-facing role, you will identify use cases for Databricks, develop architectures and solutions using our platform, and guide customers through implementations to deliver strategic business value. You will partner with the sales team to build relationships with our customers and establish yourself as a trusted advisor. Databricks' culture thrives on collaboration and teamwork, and you will contribute your knowledge to our teams by participating in our subject matter expert groups. In this role, you will report to the Solutions Architect Leader supporting the specific business segment. If you are a technologist interested in Data and AI, and enjoy prototyping solutions for customers, this role is for you. The impact you will have: - Provide technical leadership for customers to evaluate and adopt Data and AI solutions from Databricks - Consult on

Sr Technical Solutions Engineer, Platform Amsterdam, Netherlands P-1524; This role is hybrid with 3 days in our Amsterdam office. As a Sr. Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. The impact you will have: - Troubleshoot and resolve complex customer issues related to Databricks platform - Provide best practices support for custom-built solutions developed by Databricks customers - Deliver suggestions for improving performance in customer-specific environments - Assist with issues around third-party integrations with Databricks environment - Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests - Participate in the creation and maintenance of company documentation and knowledge articles - Be a true proponent of customer advocacy - Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs - Participate in weekend and weekday on call rotation What we look for: - Minimum 4 years of experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired . - Solid experience with SQL-based database is

Senior Technical Solutions Engineer, Platform Costa Rica P-362 - This role is hybrid with 3 days in our Heredia office. As a Senior Technical Solutions Engineer, you will provide technical support for Databricks Platform related issues and resolve any challenges involving the Databricks unified analytics platform. You will assist customers in their Databricks journey and provide them with the guidance and knowledge that they need to accomplish value and achieve their strategic goals using our products. They will look to you for answers to everything from basic technical questions to complex architectural scenarios spanning across the entire Big Data ecosystem. You will report to the Senior Manager of Technical Solutions. The impact you will have: - Troubleshoot and resolve complex customer issues related to Databricks platform - Provide best practices support for custom-built solutions developed by Databricks customers - Deliver suggestions for improving performance in customer-specific environments - Assist with issues around third-party integrations with Databricks environment - Demonstrate and coordinate with engineering and escalation teams to achieve resolution of customer issues and requests - Participate in the creation and maintenance of company documentation and knowledge articles - Be a true proponent of customer advocacy - Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs - Participate in weekend and weekday on call rotation What we look for: - Minimum 4 years experience designing, building, testing, and maintaining Python/Java/Scala based applications. Expert level knowledge in python is desired . - Solid experience with SQL-based database is

Staff Software Engineer (Data Platform) Bengaluru, India P-1348 At Databricks, we are passionate about 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 technical products that fulfill real, important needs in the world. We always push the boundaries of data and AI technology, while simultaneously operating with the resilience, security and scale that is important to making customers successful on our platform. 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 observe cloud hardware, network, and operating system faults, and our software must gracefully shield our customers from any of the above. As a Staff Software Engineer working on the Data Platform team you will help build the Data Intelligence Platform for Databricks that will allow us to automate decision-making across the entire company. You will achieve this in collaboration with Databricks Product Teams, Data Science, Applied AI and many more. You will develop a variety of tools spanning logging, orchestration, data transformation, metric store, governance platforms, data consumption layers etc. You will do this using the latest, bleeding-edge Databricks product and other tools in the data ecosystem - the team

Staff Software Engineer, Metrics and Logging Mountain View, California RDQ426R299 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 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. The Logging Platform team plays a critical role in building scalable and efficient logging solutions that power observability across all Databricks services. As a Staff Software Engineer, you will drive the next generation of our logging infrastructure, enabling engineers across the company to gain deep insights into system behavior, troubleshoot issues efficiently, and optimize performance at scale. The impact you'll have: - Build the future of logging at Databricks by designing and scaling our next-generation logging platform that processes petabytes of logs daily. - Develop and optimize log delivery pipelines to support low-latency, high-throughput log ingestion and querying, ensuring seamless observability across all Databricks services. - Enhance log accessibility and usability, developing tools that enable engineers to efficiently search, analyze, and derive insights from logs. - Collaborate with teams across Databricks to define best practices for structured logging, standardizing formats

Databricks Forward Deployed Engineer - GPS Location not specified