Databricks

Staff Software Engineer role focused on enhancing search ranking and query understanding for Databricks' AI/ML-powered products. The role involves developing and deploying ML-based search relevance models, designing NLP pipelines, and contributing to evaluation frameworks for search quality.

Databricks is seeking a Sr. Manager for their AI Forward Deployed Engineering (AI FDE) team. This customer-facing role involves leading professional services engagements to help customers build and productionize GenAI applications using Databricks. The manager will lead and scale the AI FDE team in India, recruit engineers, develop executive customer relationships, and drive strategic AI PS initiatives. The role requires deep technical expertise in ML/GenAI and experience managing high-performing AI/ML teams in cloud environments.

Databricks is seeking a Senior Staff Software Engineer for Search Quality to build the contextual backbone for AI agents and improve traditional search experiences. The role involves hybrid retrieval, dual-optimization of ranking models, ensuring high-stakes accuracy for AI, and handling data heterogeneity. The ideal candidate is an IR specialist with expertise in embeddings, ranking algorithms, and evaluation frameworks, bridging traditional IR with RAG.

Databricks is seeking a Staff Software Engineer for Search Quality to build and optimize the retrieval backbone for both AI agents and human users. This role involves hybrid retrieval (keyword and semantic search), dual-optimization of ranking models, ensuring high-stakes accuracy for AI grounding, and handling data heterogeneity. The engineer will apply IR principles to RAG systems and build evaluation frameworks for relevance metrics.

Databricks is seeking ML Engineers to enhance their AI/ML-powered Search product. The role involves developing and deploying ML-based search and discovery relevance models, designing ML/NLP pipelines for query understanding and ranking, and contributing to evaluation frameworks. Experience applying LLMs to search relevance and developing search relevance systems at scale is required.

Databricks is hiring ML Engineers for their Applied AI team to enhance search quality for their platform. The role involves developing and deploying ML-based search and discovery relevance models, building automated ML/NLP pipelines for data preprocessing, query understanding, ranking, retrieval, and model evaluation, and contributing to a robust framework for evaluating search ranking improvements. Experience applying LLMs to search relevance and developing search relevance systems at scale is required.

Databricks is hiring ML Engineers to enhance their Search product quality, focusing on search ranking, query understanding, and building robust evals. The role involves developing and deploying ML-based search and discovery relevance models and systems, designing ML/NLP pipelines, and collaborating with product teams. Experience with LLMs in search relevance and developing large-scale search relevance systems is required.

Seeking an experienced Resident Solutions Architect to work with strategic customers on data and AI transformation initiatives using the Databricks platform. The role involves serving as a trusted technical advisor and hands-on expert to solve complex big data challenges, with a focus on guiding customers in their AI initiatives.

Solutions Architect role at Databricks focused on advising clients on the Databricks Lakehouse Platform for data engineering, data science, and machine learning. Responsibilities include technical leadership, developing architectures, implementing proof of concepts, and collaborating with sales and product teams. Requires experience with Big Data technologies, cloud platforms, and coding in Python/Spark.

Databricks is seeking a Strategic Hunter Account Executive for their Lakebase offering, a fully-managed Postgres solution for intelligent applications. This role involves driving adoption, identifying and closing opportunities, and partnering with regional Account Executives to modernize customers' operational data foundations. The focus is on selling the value of managed Postgres for AI-driven experiences and complex sales cycles.

This role focuses on building and maintaining infrastructure and backend services for Databricks Labs, integrating AI capabilities into production systems. It involves extending the Databricks platform, supporting tooling efforts, and ensuring reliability and observability of these systems.

This role is for a Sr. Solutions Architect at Databricks who will act as a technical advisor to the sales team and advocate for customers. The primary focus is on helping customers leverage the Databricks Lakehouse Platform for data engineering, data science, and machine learning projects, and integrating it into their enterprise ecosystem. The role involves consulting on Big Data architectures, implementing proof of concepts, and collaborating with product and engineering teams to influence the platform's roadmap. Experience with Big Data technologies, cloud platforms, and coding in Python/Spark is required.

Delivery Solutions Architect at Databricks responsible for accelerating customer adoption and growth of the Databricks platform, focusing on post-sale technical leadership and ensuring customer success with Databricks workloads.

The Senior Solutions Architect will advise sales teams and customers on the Databricks Lakehouse Platform, helping them achieve data-driven outcomes. This role involves consulting on Big Data architectures, implementing proof of concepts for data engineering, data science, and machine learning projects, and collaborating with product and engineering teams to influence the platform's roadmap. The architect will also promote Databricks open-source projects.

Manager for a team of Solutions Architects in the Data & AI domain, focusing on large strategic customers in India. The role involves leading team expansion, building technical pre-sales capabilities, coaching team members, and positioning Databricks' solutions to customers and prospects.

Solutions Architect role focused on guiding technical evaluations and adoption of the Databricks Lakehouse Platform for customers, involving hands-on work with Apache Spark, AI, and Big Data technologies within a sales process.

Partner Solutions Architect role focused on enabling partners to leverage the Databricks Lakehouse Platform for data-driven outcomes, with expertise in data engineering or data science, and public cloud integration.

This role focuses on building and scaling an AI-enabled learning operations engine for the APJ region, aiming to transform regional execution into data-driven, revenue-aligned outcomes. The manager will design systems, manage operational cadence, forecast, capacity planning, and executive reporting, while embedding automation and AI-first workflows to reduce friction and improve predictability. The role requires strong analytical skills, commercial fluency, and experience in operations within high-growth tech companies.

This role is for a Sr. Specialist Solutions Architect focused on defining the technical go-to-market strategy and driving adoption of Databricks' AI/BI product suite in the APAC and Japan region. The individual will act as a trusted advisor to customers and internal field engineering teams, support product managers in defining product direction, and serve as a thought leader through external engagement. The role requires expertise in cloud-based data visualization and analytics solutions, building production-level data applications, and strong pre-sales experience.

Manager for a team of Data & AI technical experts in India, responsible for leading and growing the team to ensure resiliency and smooth operation of customer production workloads on the Databricks platform. The role involves supporting EMEA & APJ business hours, engaging with customers, and partnering with product engineering teams.

Solutions Architect role focused on guiding technical evaluations and adoption of the Databricks Lakehouse Platform for customers, integrating it into their enterprise ecosystems. The role involves hands-on work with Apache Spark, public cloud technologies, and supporting data teams in big data, analytics, data engineering, and data science projects.

Director of Data & AI Support Engineering in Bangalore, leading a team focused on the resiliency and smooth operation of customer production workloads, resolving complex data engineering use cases, and optimizing performance for Databricks customers.

Experienced Resident Solution Architect to work with strategic customers on data and AI transformation initiatives using the Databricks platform. Role involves serving as a trusted technical advisor and hands-on expert to solve complex big data challenges, with a focus on the Databricks platform capabilities. Requires strong experience in Big Data technologies, Spark, Python, Scala, SQL, and cloud platforms, with good-to-have skills in ML libraries and GenAI solutions.

Databricks is seeking a Senior Software Engineer to lead the development of products for AI and data observability. This role involves building data infrastructure to process billions of entries daily, deploying globally, and enabling companies to manage their DevOps, FinOps, SecOps, and AIOps. The engineer will lead technical development, mentor others, optimize scalability and cost, and drive integrations.

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

Databricks is seeking a Full Stack Engineer for their Lakeflow Connect team. This role will focus on designing and building user interfaces for data ingestion pipelines, enabling customers to easily configure, monitor, and manage connectors to various data sources. The engineer will collaborate with backend and product teams, contribute to the full-stack implementation, and help instrument product usage for iteration. The role requires experience with modern JavaScript frameworks (React preferred), HTML, CSS, and TypeScript, with familiarity in server-side technologies and cloud environments being a plus.

Senior Analyst role focused on User Acceptance Testing (UAT) for the Order-to-Revenue tech stack, ensuring data integrity through SQL validation, managing defects, and supporting SOX compliance. This role collaborates with US-based teams and requires strong SQL and understanding of Order-to-Cash processes.

This role focuses on global go-to-market planning and execution for Databricks, a data and AI company. The Manager will own critical workflows like territory and account assignment, quota calculations, and headcount management, aiming to improve these processes through automation and data-driven insights. The role also involves cross-functional partnership and leveraging AI tools for productivity improvements.

Manager for Professional Services team at Databricks, focusing on customer engagements related to big data challenges using the Databricks platform. Responsibilities include providing data engineering, data science, and cloud technology project support, building reference architectures, guiding customers on big data projects, consulting on architecture and design, and providing product feedback.

This role is focused on supporting Databricks' partner ecosystem by driving operational scale and GTM strategy for the APJ Partnerships team. The Manager will combine analytical insight, business acumen, and cross-functional partnerships to set strategy, lead execution, build scalable processes, and provide data-driven insights. Responsibilities include creating OKRs, reporting, forecasting, SQL analytics, BI reporting, territory planning, quota modeling, conducting ROI analysis, and staying updated on industry trends. The ideal candidate is technical, proficient in SQL analytics, BI reporting, and Salesforce, excels in collaboration, has a bias for action, and possesses strong communication skills with 7+ years of experience in sales strategy, business development, or channel management, including experience with partner sales and field engineering teams at an enterprise technology company.

Network Automation Engineer responsible for designing, developing, and implementing automation solutions for network efficiency, scalability, and reliability using Python, Ansible, Terraform, and CI/CD pipelines. Focuses on scripting, provisioning, monitoring, and integration with broader infrastructure.

Databricks is seeking an experienced Senior Network Engineer to manage and scale campus network infrastructure and zero trust framework. The role involves designing and implementing highly available, redundant, and low-latency networks, developing network automation using Ansible and Terraform, and collaborating with security and compliance teams. Experience with SD-WAN, wireless solutions, and cloud network principles is required.

Sr. Big Data Engineer role focused on customer engagements using the Databricks Platform to solve big data challenges. Responsibilities include data engineering, data science, and cloud technology projects, building reference architectures, and guiding customers on implementing big data and AI applications. Requires extensive experience with Big Data technologies like Spark and Kafka, cloud platforms, and Python/Scala.

Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. The role involves defining the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. The engineer will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane, improving scalability, reliability, and efficiency. This is an org-wide role requiring hands-on technical leadership and the ability to influence architecture and execution across teams, solving novel, multi-cloud distributed systems challenges at massive scale.

This is a sales role focused on acquiring new enterprise customers for Databricks' Data Intelligence Platform, which unifies data, analytics, and AI. The role involves prospecting, developing sales strategies, identifying use cases, and closing deals within the Indian market.

Enterprise Account Executive with experience selling to FSI clients, focusing on closing new and existing accounts, managing complex sales cycles, and exceeding revenue targets for Databricks' enterprise cloud data platform.

Director, Field Engineering role at Databricks, focused on leading pre-sales Solutions Architects in India. The role involves managing teams, driving consumption of Databricks' platform (which includes AI/ML capabilities), supporting sales cycles, and building customer relationships across various industries. Requires strong leadership, enterprise software pre-sales experience, and knowledge of data-driven decisions, AI, and Cloud software.

Databricks is seeking an experienced Sr. Staff Software Engineer with deep networking expertise to help shape the future of Databricks’ Networking Infrastructure. This role will define the technical vision and architecture for next-generation network connectivity & observability services that will power & manage millions of VMs across multiple clouds. The engineer will own and drive the design of large-scale connectivity platforms that form the backbone between Databricks’ control plane and compute plane, improving scalability, reliability, and efficiency.

Senior Staff Software Engineer for Databricks' Engineering team, focusing on backend development for enterprise data and AI infrastructure products. The role involves full ownership of product or infrastructure direction, driving scalable solutions with business impact, and mentoring senior engineers. Requires deep expertise in large-scale distributed systems and experience preventing/investigating production issues.

Databricks is seeking a Sr. Staff/Staff Backline Technical Solutions Engineer to resolve complex customer escalations on the Databricks platform, acting as a bridge between support and engineering. The role involves troubleshooting, providing best practices, creating guides, contributing to automation, and identifying supportability features. Requires extensive experience in supporting applications, scripting, distributed big data computing, SQL databases, Linux, networking, and cloud services.

Engineering Manager for Databricks' Lakeflow Connect team in India, focusing on data ingestion into the Lakehouse from various sources. The role involves leading a team, managing technical debt, and collaborating with product leadership to build and operate scalable cloud services.

Databricks is seeking a Staff Software Engineer for their Backend, DDS, or Full Stack teams in Bengaluru, India. This role involves working on large-scale distributed systems, SaaS platforms, and service-oriented architectures, focusing on data and AI infrastructure. The engineer will contribute to building and running the company's data and AI platform, enabling customers to solve complex problems using data insights.

Databricks is seeking a Senior Software Engineer - Backend to build and scale infrastructure for their data and AI platform. The role involves developing foundational infrastructure, cloud-agnostic abstractions, and tools to enhance engineering efficiency, focusing on large-scale distributed systems and SaaS platforms.

This role is for a Delivery Partner Manager at Databricks, focused on managing and developing relationships with system integrators to accelerate customer project outcomes. The role involves building RFP processes, incubating partners with Gen AI capabilities, driving governance and quality, and managing contractual negotiations and KPIs for service partners. It is a product-focused role within the enterprise AI domain, supporting the delivery of Databricks platform technology.

Senior Software Engineer focused on backend systems and application frameworks for the Databricks platform, with a deep understanding of JVM internals, performance optimization, and distributed systems.

Databricks is seeking a Director of Engineering to lead critical infrastructure initiatives for their data and AI platform. This role involves building and operating distributed systems, driving efficiency, reliability, and automation, and integrating AI-driven tooling into the infrastructure. The ideal candidate will have extensive experience in large-scale cloud infrastructure, team management, and translating requirements into execution plans.

Director of Engineering for Data Infrastructure at Databricks, focusing on building and leading teams responsible for the reliability, correctness, and scalability of the company's monetization and data ingestion infrastructure. The role emphasizes architecting systems that handle petabytes of data and billions in daily transactions with extremely high accuracy and uptime requirements, positioning infrastructure as a product.

Databricks is seeking a Staff Backline Engineer to resolve complex customer escalations related to Apache Spark, Delta Lake, and Structured Streaming. This role involves deep code-level analysis, providing best practices, contributing to automation, and acting as a technical bridge between support and engineering. The ideal candidate has extensive experience in developing, testing, and sustaining Python, Java, or Scala applications, with a strong understanding of Spark internals and JVM-based troubleshooting.