Staff Software Engineer - Backend at Databricks | Bengaluru, India

P-995 About Our Team At Databricks, we are dedicated to empowering data teams to tackle the world’s most challenging issues—from transforming transportation to accelerating medical advancements. The ingestion of data into the Lakehouse is a critical investment area for Databricks, serving as a pivotal enabler for Data and AI workflows. Lakeflow Connect aims to address this need by offering intuitive, point-and-click connectors for a diverse range of sources, such as enterprise applications (Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage solutions, message queues, and local file systems. As a fundamental aspect of Lakeflow and Data Engineering, Connect also serves as a vital platform capability. Every interface within Databricks (Dashboards, Notebooks, SQL, AI) relies on ingestion functionalities, and the leader in this role will collaborate closely with other products to integrate Connect seamlessly into these environments. We seek a seasoned leader to oversee our Connect organization in India. This position presents an exceptional opportunity to spearhead a key strategic initiative at Databricks. The ideal candidate will have extensive experience in leading teams that develop Data infrastructure and a strong interest in managing product-centric organizations. Moreover, effective collaboration across different time zones and organizational boundaries is essential. Your Impact: Address significant business challenges at scale using your software engineering expertise. Ensure timely delivery of milestones while maintaining robust alignment with the field through collaborative efforts with product leadership. Adapt organizational structures to align with long-term goals, fostering strong “5 ingredient” teams with effective communication frameworks. Manage technical debt, making long-term architectural decisions while balancing the product roadmap. Engage in technical, product, and design discussions as a leader and participant. Design, manage, and operate highly scalable cloud services. Nurture the growth of team leaders by providing coaching, mentorship, and development opportunities. What We Look For: 11+ years of experience in building and supporting large-scale distributed systems. Proven track record in building, developing, and managing high-performance teams. Strong ability to attract and recruit engineers aligned with Databricks’ hiring principles. Experience in constructing and maintaining cloud platforms.

At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues—from transforming the future of transportation to accelerating medical innovations. Our commitment is to create and maintain the leading data and AI infrastructure platform, enabling our clients to harness deep data insights for business improvement. As a strategic focus, data ingestion into the Lakehouse is a vital area of investment at Databricks, crucial for enhancing Data and AI workflows. Our Lakeflow Connect initiative aims to address this need by offering user-friendly, point-and-click connectors to a diverse range of data sources, including enterprise applications such as Salesforce, Workday, ServiceNow, and SharePoint, as well as databases like SQL Server, cloud storage solutions, message queues, and local files. In this role, you will play an instrumental part in Lakeflow and Data Engineering. Connect serves as a pivotal platform capability, with ingestion functionalities required across all Databricks surfaces (Dashboards, Notebooks, SQL, AI). The successful candidate will collaborate closely with other products to integrate Connect seamlessly into these interfaces. We seek engineers with a robust background in core database internals to join our Lakeflow Connect team. A critical aspect of Connect involves extracting data from OLTP systems while minimizing the load on production environments. To achieve this, we are developing systems that utilize techniques such as incremental data capture and log parsing. We are searching for hands-on engineers eager to make a significant impact on a crucial challenge for the organization.

P-995 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from bringing innovative transportation solutions to life to accelerating groundbreaking medical discoveries. We achieve this by developing and operating the leading data and AI infrastructure platform, enabling our clients to leverage deep data insights for enhanced business performance. Established by engineers with a customer-centric approach, we seize every chance to address technical challenges, from designing next-generation UI/UX for data interaction to scaling our services and infrastructure across millions of virtual machines. Our journey has only just begun. As one of the initial Engineering Managers within the Software Engineering team at Databricks India, you will lead your team in creating infrastructure and products for the Databricks platform at scale. We have multiple teams focusing on various domains. Resource management infrastructure that supports big data and machine learning workloads on the Databricks platform in a secure, scalable, and cloud-agnostic manner. Development of reliable, scalable services and client libraries capable of handling vast amounts of data across multiple cloud providers and geographic regions. Creation of tools that enable Databricks engineers to manage their services across diverse clouds and environments. Development of services, products, and infrastructure at the nexus of machine learning and distributed systems. Your Impact: Recruit top-notch engineers to assemble an exceptional team. Establish high technical standards through the implementation of processes (architecture reviews, testing) and fostering a culture of engineering excellence. Collaborate with engineering and product leadership to craft a long-term roadmap. Facilitate execution and teamwork across various teams to overcome cross-functional project hurdles.

(P-1384) About the Team At Databricks, we are dedicated to empowering data teams to tackle some of the world's most challenging issues — from pioneering innovative transportation solutions to expediting medical advancements. Our mission is realized through the development and operation of the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their business outcomes. Founded by engineers and driven by an unwavering customer focus, we embrace every opportunity to confront technical hurdles, whether it involves designing next-generation UI/UX for data interaction or scaling our services and infrastructure across millions of virtual machines. And we are just getting started. In this pivotal role, you will collaborate closely with leaders across the organization, including engineering, product management, field engineering, recruiting, and HR. You will spearhead essential initiatives that boost developer productivity and foster innovation within the developer platform domain. Your leadership will be instrumental in integrating AI tools into the developer workflow, shaping the future of AI-assisted development. Your Impact: Address significant business needs at scale through your software engineering expertise. Ensure consistent milestone delivery while maintaining strong alignment with field teams, working collaboratively with product leadership. Adapt the organizational structure to meet long-term objectives, fostering strong “5 ingredient” teams with effective communication architecture. Manage technical debt by making long-term architectural decisions and balancing the product roadmap. Lead and participate in technical, product, and design discussions. Build, manage, and operate highly scalable cloud services. Develop leaders within the team by providing coaching, mentorship, and growth opportunities. Collaborate with fellow engineering and product leaders on planning, prioritization, and staffing. Foster a culture of excellence and lead with empathy within the team. What We Seek: 15+ years of industry experience in building and supporting large-scale distributed systems. Proven track record in building, growing, and managing high-performance teams. Ability to attract and hire engineers who align with Databricks' hiring principles. Experience in building and operating cloud platforms, or a demonstrated ability to quickly learn new concepts in the SaaS space. Exceptional leadership and communication skills. Mentorship capabilities to nurture talent and promote professional development.

P-1403 At Databricks, we are dedicated to empowering data teams to tackle some of the most formidable challenges in the world—from turning the next generation of transportation into reality to hastening the discovery of medical innovations. We achieve this by constructing and managing the premier data and AI infrastructure platform, enabling our clients to leverage profound data insights to drive business improvements. Data ingestion into the Lakehouse is a critical investment area for Databricks and serves as a vital facilitator for Data and AI workflows. The Lakeflow Connect initiative aims to address this need by offering intuitive, point-and-click connectors for a diverse range of sources, including enterprise applications (such as Salesforce, Workday, ServiceNow, SharePoint), databases (like SQL Server), cloud storage, message queues, and local files. As an integral component of Lakeflow and Data Engineering, Connect is also a fundamental platform capability. Every interface within Databricks (Dashboards, Notebooks, SQL, AI) requires ingestion functionalities, and the lead for this role will collaborate closely with other products to seamlessly integrate Connect into these interfaces. We seek engineers with a strong background in core database internals to join our Lakeflow Connect team. A crucial aspect of Connect involves extracting data from OLTP systems while minimizing the impact on production systems. To accomplish this efficiently, we are developing systems that utilize techniques like incremental data capture and log parsing. We are looking for hands-on engineers eager to make a significant impact on a critical challenge for the company.

P-1403 At Databricks, we are dedicated to empowering data teams to tackle the most challenging problems in the world—ranging from transforming transportation to accelerating groundbreaking medical advancements. Our mission is realized through the development and operation of the premier data and AI infrastructure platform, enabling our clients to leverage deep data insights for enhanced business performance. The ingestion of data into the Lakehouse represents a pivotal investment area for Databricks, serving as a vital enabler for Data and AI processes. The Lakeflow Connect initiative aims to address this challenge by offering intuitive, ready-to-use connectors for a diverse array of sources, including enterprise applications (such as Salesforce, Workday, ServiceNow, SharePoint), databases (e.g., SQL Server), cloud storage, message queues, and local files. In addition to being a crucial component of Lakeflow and Data Engineering, Connect is a fundamental platform capability. Every interface at Databricks (Dashboards, Notebooks, SQL, AI) relies on ingestion functionality, and the leader in this role will collaborate closely with other product teams to integrate Connect into these interfaces. We are seeking engineers who possess a strong foundation in core database internals to join our Lakeflow Connect team. A significant aspect of Connect involves extracting data from OLTP systems while minimizing the impact on production environments. To achieve this efficiently, we are developing systems that implement techniques such as incremental data capture and log parsing. We are looking for hands-on engineers eager to make a substantial impact on a critical challenge facing the company.

Join Databricks as a Staff Software Engineer and contribute to our innovative infrastructure that empowers data teams to excel with confidence and scalability. Our unified schema migration platform is the backbone of automated, observable, and developer-friendly workflows, ensuring that Databricks can swiftly evolve across thousands of databases and over 60 critical services.Key Responsibilities:Schema Migration Platform: Design and maintain an automated infrastructure for schema changes in MySQL and TiDB, focusing on versioning, rollback, validation, and auditing to ensure swift, safe migrations.Scale, Reliability & Test Harness: Guarantee the platform’s operation across a vast array of global databases without downtime, while enhancing resilience, observability, and recovery measures, along with developing a test harness for migration and deployment validation.Developer Experience & CI/CD Integration: Create user-friendly tools and APIs for efficient schema and data change management, integrating migration workflows into CI/CD pipelines to boost speed and reduce friction.Schema & Data Management: Construct infrastructure for secure, large-scale schema and data operations, ensuring that backfill processes are monitored, retryable, minimally disruptive, and automated to maintain data integrity in line with schema evolution.Your Impact:Enhance the scalability and reliability of schema and data operations across Databricks’ global presence.Facilitate predictable deployments by architecting robust test harnesses and automation tools.Improve the developer experience by delivering accessible and resilient tools that simplify complex migrations.Ensure the integrity of schema and data through safe and efficient backfill strategies.

Join our dynamic team at Databricks as a Staff Software Engineer, specializing in Search Quality. In this pivotal role, you'll contribute to enhancing our search functionalities, ensuring users have an exceptional experience when utilizing our platform. You will work closely with cross-functional teams to design, implement, and optimize algorithms that improve search accuracy and relevance.

The Applied AI team at Databricks is at the leading edge of developing innovative AI and machine learning-powered products. Our customers continuously create vast numbers of assets—such as tables, notebooks, dashboards, data rooms, pipelines, SQL queries, and ML models—on our platform, some totaling hundreds of millions of assets. Navigating and locating these assets is vital for our users to efficiently complete their tasks.As our Search product continues to grow and advance, we are looking for multiple ML Engineers at various seniority levels to enhance our Search Quality. In 2026, our focus will be on improving search ranking, enhancing query understanding, building robust evaluations, and expanding asset coverage to facilitate seamless search capabilities at scale.

The Applied AI team at Databricks is at the cutting edge of AI and ML-driven products. Our customers constantly create a variety of assets (such as tables, notebooks, dashboards, and ML models) on our platform, making the search for these assets a vital aspect of their experience.As our Search product continues to grow, we are looking for multiple Machine Learning Engineers at various experience levels to enhance our Search Quality. In 2026, our primary focus will be on improving search ranking, query comprehension, developing robust evaluations, and expanding asset coverage to facilitate seamless searching at scale.

P-1347 At Databricks, we are dedicated to empowering data teams to address the world's most challenging issues—from realizing the next mode of transportation to speeding up the discovery of medical innovations. Our mission is accomplished through the development and operation of the premier data and AI infrastructure platform, enabling our clients to harness profound data insights to enhance their operations. Networking Infrastructure is a fundamental component of our platform that fuels all our data and AI solutions. This platform also supports essential enterprise security functionalities that our customers leverage across all products to construct connectivity solutions to cloud resources, while mitigating the risk of data exfiltration. We are in the process of assembling our team from the ground up in Bengaluru, India. We are on the lookout for seasoned Senior Software Engineers with a strong networking background to join our Networking Infrastructure team. As an initial member of the Bangalore office, you will concentrate on creating new backend connectivity services that support millions of VMs operating on Databricks. You will take the lead in the design and development of new services that facilitate connectivity between our control and compute planes. This innovative platform empowers Databricks to enhance the scalability of our compute plane while optimizing cloud resource utilization. Collaborating closely with cross-functional teams—including product management, operations, and other engineering groups—you will ensure the delivery of robust, scalable, and efficient networking systems. This role is ideal for a hands-on leader who excels in a dynamic environment and is passionate about tackling complex multi-cloud and distributed systems challenges.

(P-1174) Join the dynamic Engineering team at Databricks as a Senior Staff Software Engineer, reporting directly to an Engineering Leader. In this pivotal role, you will contribute to the development of innovative Databricks products and features that empower thousands of enterprises across the globe. Key Responsibilities As a highly skilled engineering contributor, you will have complete ownership of product and infrastructure direction in a key domain, guiding projects from their inception to scalable, impactful solutions. You will enhance the stability and reliability of our systems while fostering organizational processes, leveraging your expertise in large-scale distributed systems. Mentoring senior engineers, contributing to recruitment efforts, and spearheading high-stakes company projects will also be part of your role, often addressing challenging problems outside your comfort zone. Your Impact Address significant business needs at scale through your software engineering prowess. Deliver a robust, scalable, and fault-tolerant engine that processes hundreds of terabytes of data daily for numerous clients. Engage in low-level systems debugging, performance measurement, and optimization on extensive production clusters. Architect and design systems, influence product roadmaps, and take charge of new projects. Utilize your extensive experience to preempt and investigate production challenges. Plan and lead complex technical initiatives across multiple teams. Act as a strong influencer within the organization, shaping its roadmap and strategic direction.

(P-1174)Join our innovative Engineering team as a Senior Staff Software Engineer at Databricks, where you will report directly to an Engineering Leader. You will play a pivotal role in our engineering organization, collaborating with teams to develop cutting-edge Databricks products and features that serve thousands of enterprises globally.Key ResponsibilitiesAs a key technical leader at Databricks, you will take full ownership of the product or infrastructure strategy in a major domain, guiding it from initial development to scalable solutions with tangible business impact. You will enhance our organizational processes and stability, leveraging your extensive expertise in large-scale distributed systems. Additionally, you will mentor senior engineers, assist in recruitment efforts, and lead high-stakes company projects, often addressing complex challenges beyond typical scopes.Your Impact:Address significant business needs at scale through your software engineering acumen.Deliver a robust, scalable, and fault-tolerant engine that processes hundreds of terabytes of data daily for a vast customer base.Engage in low-level systems debugging, performance evaluation, and optimization within extensive production clusters.Design architectural frameworks, influence product roadmaps, and assume responsibility for new initiatives.Utilize your deep knowledge to prevent and troubleshoot production issues.Lead complex technical projects in collaboration with various teams across the organization.Act as a significant influence in shaping the organization’s strategic direction.

P-1348 Join Databricks, where our mission is to empower data teams to tackle the world's most challenging problems, from detecting security threats to advancing cancer drug development. We build and maintain the premier data and AI infrastructure platform, enabling our customers to focus on their critical missions. Our engineering teams are dedicated to creating innovative technical products that address significant needs while pushing the limits of data and AI technology. We operate with the resilience, security, and scalability necessary to ensure our customers succeed on our platform. Our platform operates at an unparalleled scale, comprising millions of virtual machines and generating terabytes of logs, processing exabytes of data daily. We encounter various cloud hardware, network, and operating system faults, and our software must adeptly protect our customers from these challenges. As a Staff Software Engineer on the Data Platform team, you will contribute to the development of the Data Intelligence Platform at Databricks, automating decision-making processes across the organization. Collaborating with Product Teams, Data Science, Applied AI, and more, you will create tools for logging, orchestration, data transformation, metric storage, governance platforms, and data consumption layers. Leveraging cutting-edge Databricks products and tools within the data ecosystem, your team will serve as a significant in-house customer, providing insights that shape our product's future. Your Impact: Design and manage the Databricks metrics store, facilitating shared access to detailed metrics across business units and engineering teams with high quality and performance. Develop the cross-company Data Intelligence Platform, encompassing all business and product metrics necessary for running Databricks, balancing data protection with ease of sharing as we transition to a public entity. Create tools and infrastructure for efficiently managing Databricks operations at scale across multiple clouds and geographies, including CI/CD processes, testing frameworks for pipelines and data quality, and infrastructure-as-code tools. Establish the foundational ETL framework utilized by all company-developed pipelines. Collaborate with engineering teams to enhance...

(P-1174)Join our innovative team at Databricks as a Senior Staff Software Engineer within our Engineering division, reporting directly to an Engineering Leader. You will play a key role in our engineering organization, collaborating with teams dedicated to developing cutting-edge Databricks products and features that cater to thousands of enterprises globally.Key ResponsibilitiesAs a senior engineering individual contributor, you will take full ownership of product and infrastructure strategy in a significant area, driving initiatives from conception through to scalable solutions that deliver measurable business impact. You will enhance organizational stability and reliability while leveraging your deep expertise in large-scale distributed systems. Additionally, you will mentor senior engineers, assist in recruitment efforts, and lead high-impact projects that often involve complex challenges.Your Impact:Address real business challenges on a large scale with your software engineering expertise.Design and deliver a highly scalable, available, and fault-tolerant engine that processes hundreds of terabytes of data daily for thousands of customers.Conduct low-level systems debugging and performance optimization across extensive production clusters.Architect system designs, influence product roadmaps, and take ownership of new project initiatives.Utilize your extensive experience to help mitigate and resolve production issues.Lead intricate technical projects, collaborating across multiple teams within the organization.Act as a vital influencer in shaping the company's roadmap and strategic direction.

Role Overview Databricks is hiring a Senior Business Analyst in Bengaluru, India. This position works closely with teams across the company to support data-driven decisions. The analyst will gather and interpret business requirements, identify ways to improve processes, and recommend solutions that increase productivity. What You Will Do Work with stakeholders from different departments to understand business needs Analyze data and business processes to identify areas for improvement Develop recommendations to streamline operations Support the creation of strategies that affect Databricks customers worldwide What We’re Looking For Strong background in data analysis and business intelligence Experience collaborating with cross-functional teams Ability to translate business requirements into actionable insights

P-1408 Join the Applied AI team at Databricks to be a key player in pioneering AI/ML-driven products. Our customers are consistently generating a wealth of assets—such as tables, notebooks, dashboards, datarooms, pipelines, SQL queries, and ML models—on our platform, with some managing hundreds of millions of these assets. Efficiently locating these assets is a critical journey for our users, enabling them to complete their tasks effectively. As our Search product evolves, we are on the lookout for a Staff Engineer to spearhead improvements in our Search Quality. In 2025, our primary goals include enhancing search ranking, refining query understanding, developing robust evaluations, and broadening asset coverage to facilitate seamless search capabilities at scale.

P-1394 At Databricks, we are dedicated to empowering data teams to tackle some of the world's most significant challenges—from revolutionizing transportation to accelerating medical advancements. Our mission is fulfilled by creating and managing the industry's leading data and AI infrastructure platform, enabling our customers to harness deep data insights to enhance their operations. Founded by engineers with a customer-centric mindset, we eagerly embrace every challenge, whether it's creating cutting-edge UI/UX for data interaction or scaling our infrastructure across millions of virtual machines. Our engineering teams design technical products that address real, critical needs in today's world. We continuously push the limits of data and AI technology while ensuring the security and scalability essential for our customers' success on our platform. We operate one of the largest software platforms globally, comprising millions of virtual machines that generate terabytes of logs and process exabytes of data daily. At this scale, we monitor cloud hardware, network, and operating system faults, and our software is designed to shield our customers from these issues seamlessly. As a Senior Software Engineer on the Observability team, you will develop observability solutions that provide critical insights into the health and performance of our products and infrastructure.

Join Databricks, where our mission is to empower data teams to tackle some of the most challenging problems in the world—from revolutionizing transportation to advancing medical innovations. We achieve this by developing and managing a top-tier data and AI infrastructure platform that allows our customers to harness deep data insights for better business outcomes. Founded by engineers and driven by our commitment to customer satisfaction, we embrace every challenge—whether it's creating next-generation UI/UX for data interfacing or scaling our infrastructure across millions of virtual machines. At Databricks Mosaic AI, we take a unique data-centric approach to crafting enterprise-quality Machine Learning and Generative AI solutions, enabling organizations to securely and cost-effectively manage and host their ML and AI models, enriched with their enterprise data. We're just getting started in Bengaluru, India, where we're launching 10 new teams from the ground up!As a Staff Software Engineer at Databricks India, you will have the opportunity to work across:Backend developmentDistributed Data Systems (DDS)Full Stack solutionsYour Impact:Backend: Engage with diverse domains within our essential service platforms, tackling challenges that span product and infrastructure, including distributed systems, service architecture, workflow orchestration, and enhancing developer experience. You'll be responsible for delivering high-performance services and client libraries for managing vast amounts of data on cloud storage backends such as AWS S3 and Azure Blob Store, as well as developing scalable services using technologies like Scala, Kubernetes, and Apache Spark™.Distributed Data Systems (DDS): Collaborate on projects involving Apache Spark™, Data Plane Storage, Delta Lake, Delta Pipelines, and Performance Engineering.Full Stack: Partner closely with product management to create exceptional user experiences.