Build large-scale backend infrastructure and data products for Databricks across areas such as log analytics, AI/BI, business semantics, and apps. The role requires staff-level software engineering experience, including 10+ years with Java, Scala, or C++ and expertise in distributed systems and cloud technologies.

Build scalable full-stack products that simplify data insights across Databricks’ analytics and AI platform. The role requires strong front-end architecture, modern JavaScript and server-side development experience, SQL, cloud technologies, and large-scale distributed systems expertise.

Build scalable, high-performance frontend experiences for creating, editing, and exploring data dashboards. The role requires 5+ years of software engineering experience, strong React or similar framework expertise, and experience with frontend and backend systems.

The Senior Product Manager will shape strategy and roadmap for Lakeflow Jobs, focusing on orchestration, authoring, triggers, and observability for data and AI workflows. The role requires 5+ years of experience, product management expertise, and technical fluency in orchestration tools, data pipelines, SQL, and Python.

The Strategic Core Account Executive will sell and expand Databricks’ data and AI platform within financial services accounts in Monterrey. The role requires business-level English, native Spanish, more than five years of relevant sales experience, and a record of exceeding quotas.

Senior software engineer responsible for designing and building distributed data infrastructure, from requirements and technical design through production rollout and monitoring. Requires 5+ years of production experience in Java, Scala, or C++ plus expertise in distributed systems, databases, and big data.

Build and ship features for Databricks’ distributed data platform, contributing across design, development, testing, production rollout, and monitoring. The role requires 3+ years of production experience in Java, Scala, or C++, plus strong foundations in algorithms, data structures, databases, and distributed systems.

Leads search quality for AI-agent retrieval and human search experiences, optimizing hybrid retrieval, ranking, relevance metrics, and evaluation frameworks. The role requires expertise in information retrieval, embeddings, Elasticsearch or Lucene, and RAG.

Build and evolve distributed data infrastructure across storage and query systems, from design through production rollout. The role requires 8+ years of production experience in Java, Scala, or C++, plus strong knowledge of databases, distributed systems, and big data.

Build large-scale backend systems for Databricks’ data and AI platform, spanning distributed processing, cloud infrastructure, governance, and application runtimes. The role requires 5+ years of production experience in Java, Scala, or C++, plus expertise in distributed systems, SaaS architectures, cloud technologies, security, and SQL.

Leads the development of machine-learning search relevance systems, including query understanding, ranking, retrieval, and evaluation pipelines. The role requires 10+ years of search relevance experience and expertise in NLP, LLMs, or related discovery technologies.

Owns search quality across hybrid retrieval systems serving AI agents and human users. The role focuses on ranking, relevance evaluation, embeddings, and grounding RAG outputs across heterogeneous enterprise data.

Build scalable, fault-tolerant data ingestion systems for Lakeflow Connect, processing hundreds of terabytes daily across thousands of customers. The role requires 5+ years of production software engineering experience, distributed-systems expertise, and hands-on backend development.

Leads a team of Partner Solutions Architects supporting consulting and systems-integrator partners with lakehouse architecture, data and AI solutions, and Databricks adoption. Requires 8+ years in senior pre-sales or post-sales roles, technical data expertise, and experience building teams in hyper-growth environments.

Develop and deploy scalable machine learning and AI systems for user-facing products, including forecasting and AutoML capabilities. The role requires strong production ML engineering, modeling, software engineering, statistics, and systems knowledge.

Build high-performance backend services and client libraries for Databricks' cloud data platform. The role requires a bachelor's degree, 3+ years of production experience in a programming language such as Java, Scala, or C++, and experience with distributed systems and SaaS platforms.

Build scalable, secure backend services and client libraries for Databricks’ data platform, working across distributed systems, cloud storage, and service-oriented architectures. The role requires a bachelor’s degree and 8+ years of production software engineering experience.

Leads the development of machine-learning search relevance systems, including query understanding, ranking, retrieval, and evaluation at scale. Requires 10+ years of search relevance experience and expertise in ML, NLP, or related discovery technologies.

Designs and builds next-generation database query engines and structured storage systems, spanning query optimization, distributed execution, vectorized processing, and storage optimization. The role requires 7+ years of related systems experience and includes technical leadership and mentoring.

Build customer-facing, self-serve workflows and modular UI experiences for the Databricks Control Plane. The role leads large-scale distributed product initiatives, partners cross-functionally, and mentors engineers while requiring 10+ years of industry experience.

Design and develop next-generation database query and storage systems, covering optimization, distributed execution, transactions, and physical data organization. The role requires 5+ years of related systems experience and values expertise in databases, distributed systems, or performance optimization.

Design and build next-generation database query and storage systems, contributing to query optimization, distributed execution, vectorized processing, and efficient storage. The role requires 5+ years of related systems experience and values expertise in databases, distributed systems, language design, or performance optimization.

Build reliable, secure, high-performance backend services and client libraries for Databricks’ cloud data platform. The role requires 5+ years of production software experience, distributed-systems expertise, and proficiency in Java, Scala, C++, or a similar language.

This enterprise sales professional will acquire and expand accounts in the Philippines, selling Databricks’ cloud data platform to executive and technical stakeholders. The role requires 7+ years of enterprise sales experience, strong quota performance, SaaS expertise, and a bachelor’s degree.

Leads development of Lakeflow Connect’s large-scale data ingestion systems, applying database internals expertise to incremental capture and log parsing. The role requires 15+ years building distributed systems, strong algorithms and data structures knowledge, and technical leadership across complex initiatives.

Leads the design and operation of Databricks’ large-scale Data Intelligence Platform, including metrics stores, ETL frameworks, multi-cloud pipelines, governance, and infrastructure tooling. Requires extensive industry experience, distributed-systems expertise, and technical leadership across complex data infrastructure initiatives.

The Enterprise Account Executive will drive new business, customer expansion, and partner-led sales for Databricks’ Unified Analytics Platform across Singapore and the broader ASEAN enterprise market. The role requires at least five years of enterprise SaaS sales experience and the ability to communicate complex cloud and big data solutions.

The Senior ML and AI Technical Solutions Engineer troubleshoots and optimizes production data, machine learning, and generative AI workloads on Databricks. The role requires 8+ years of production experience with ML/AI systems, distributed computing, cloud platforms, and programming in Python, Scala, and Java.

Leads engineering organization and developer-platform initiatives, including scalable cloud services, AI-assisted development, technical strategy, hiring, and leadership development. Requires 15+ years building distributed systems and experience managing high-performance engineering teams.

The Enterprise Account Executive will acquire and expand strategic Media accounts in Japan, selling Databricks’ usage-based Data and AI platform. The role requires at least five years of complex enterprise software sales experience, strong industry knowledge, and expertise in value-based sales methodologies.

Leads the architecture, development, optimization, and reliability of large-scale distributed backend systems processing substantial data volumes. The role requires 15+ years of industry experience, deep systems expertise, cross-team technical leadership, and strong mentoring skills.

Leads the design, development, and optimization of large-scale backend systems for Delta Lake write-path operations. The role requires extensive distributed-systems experience and includes architectural ownership, production reliability work, cross-team technical leadership, and mentorship.

Build and operate full-stack SaaS products across frontend, backend, and distributed systems. The role requires strong JavaScript and frontend architecture experience, server-side development skills, cloud technologies, and 5+ years of professional experience.

Leads development of Money systems governing usage, billing-related infrastructure, and resource governance across Databricks products. The role requires 12+ years of production software experience, distributed-systems expertise, cloud technologies, security experience, and cross-functional technical leadership.

Leads end-to-end product management for the Databricks Runtime team, shaping strategy, roadmaps, customer requirements, and launches. Requires 6+ years of product management experience, cloud infrastructure knowledge, SQL and operational data analysis skills, and a bachelor's degree.

Leads strategic enterprise engagements across the UK and Ireland, advising C-suite stakeholders on Data and AI transformation and designing solutions across major cloud ecosystems. The role requires deep data platform expertise, commercial awareness, executive communication, and experience influencing global-scale technology change.

Leads the architecture and development of large-scale, multi-cloud networking connectivity and observability platforms supporting Databricks infrastructure. Requires extensive production software engineering and distributed-systems experience, plus expertise in cloud networking, Kubernetes, and infrastructure automation.

Build and lead backend networking connectivity services for Databricks’ control and compute planes, supporting large-scale distributed systems and multi-cloud infrastructure. The role requires 8+ years of production software experience, substantial networking expertise, and experience developing distributed systems from scratch.

Build scalable backend infrastructure and products for the Databricks platform, including distributed services, cloud-storage systems, workflows, and data pipelines. The role requires a bachelor’s degree in computer science or a related field and at least three years of production software experience.

Build large-scale backend infrastructure and distributed services for Databricks’ data and AI platform. The role requires a bachelor’s degree and extensive production experience with a major programming language and distributed systems.

Leads architecture, development, optimization, and operation of highly scalable distributed backend systems processing massive data volumes. The role requires 15+ years of experience, deep systems expertise, technical leadership, cross-team influence, and mentorship.

Builds large-scale distributed backend infrastructure for the Databricks platform, including cloud-agnostic abstractions and developer productivity tooling. The role requires 8+ years of software development experience, backend programming expertise, and leadership across architecture, delivery, and operations.

Build and lead backend networking infrastructure services connecting Databricks’ control and compute planes across large-scale, multi-cloud distributed systems. The role requires extensive networking experience and 12+ years of production software development experience.

Leads architecture, development, and operation of highly scalable backend distributed systems, while driving technical direction, production reliability, cross-team initiatives, and mentorship. The role requires 15+ years of experience building and supporting large-scale systems.

Build and operate Databricks’ company-wide Data Intelligence Platform, including metrics stores, ETL frameworks, orchestration, governance, and reliable multi-cloud data pipelines. The role requires 6+ years of industry experience and technical leadership on large-scale data infrastructure projects.

Build and operate large-scale backend systems governing usage, billing, commercialization, and resource controls across Databricks products. The role requires 7+ years of production software experience, distributed-systems expertise, and a bachelor's degree or higher.

Builds and operates large-scale distributed backend infrastructure for the Databricks platform, including cloud-agnostic services and developer productivity tooling. The role requires 5+ years of software development experience, backend programming expertise, and a bachelor's degree or equivalent experience.

Build scalable backend infrastructure and products for the Databricks platform, including distributed services, cloud-storage systems, data pipelines, and usage-pricing infrastructure. The role requires a computer science degree, production experience in a systems language, and experience with distributed systems and SaaS platforms.

Leads software engineering teams in Bengaluru building scalable, secure, cloud-agnostic infrastructure and products for data and machine-learning workloads. The role requires extensive distributed-systems experience, team-building and people-management expertise, and a bachelor's degree in computer science or a related field.

Leads full-cycle recruiting for technical go-to-market and Field Engineering roles across India, partnering with senior leaders to source, assess, and close hard-to-reach talent. The role requires software, data, or AI recruiting experience and the ability to operate strategically in a high-growth environment.