Databricks

Senior Software Engineer on the Money team at Databricks, focusing on billing, usage ingestion, metering, pricing, and cost optimization. The role involves using Databricks Data + AI tools, including AI and LLMs, to innovate in cost insights and optimization, and to commercialize Databricks products.

This role focuses on building and defining the ecosystem strategy for Databricks' Data Intelligence Platform, enabling partners and developers to integrate and scale applications. It involves developing frameworks, APIs, and tools to enhance customer integration of AI and data capabilities, and collaborating cross-functionally to align technical roadmaps with business goals.

Senior Full-Stack Software Engineer to join a team building a GenAI observability and quality product. The role involves full-stack development, UI/UX design, backend API development, collaboration, and performance optimization. The product provides advanced monitoring and insights for GenAI systems, using technologies like AutoML/AutoRag, LLM fine-tuning, and Prompt Optimization.

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 Designated Support Engineer role focused on providing specialized support and technical solutions for Databricks' largest customers. Responsibilities include advanced troubleshooting of Spark, SQL, Delta, Streaming, and Databricks runtime features, building POCs for AI/ML capabilities, developing playbooks, and training customer teams. Requires deep expertise in Big Data, Spark, ML/AI ecosystems, cloud platforms, and customer-facing experience.

Senior Manager role focused on leading a team of data scientists to optimize Databricks' infrastructure using data science and machine learning. The role involves capacity planning, performance optimization, reliability engineering, and improving infrastructure efficiency to reduce costs and enhance customer experience. It requires strong management experience and a background in data science/ML within a cloud environment.

Senior Manager role focused on leading a team of data scientists to optimize Databricks' infrastructure using data science and machine learning. The role involves capacity planning, performance optimization, reliability engineering, and improving infrastructure efficiency to reduce costs and enhance customer experience. It requires strong management experience and a background in data science/ML within a cloud environment.

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.

This role focuses on supporting customers in debugging and maintaining stable production data pipelines and AI workflows on the Databricks platform. The engineer will provide initial analysis, troubleshooting, and resolution for data engineering and AI workloads, perform deep dives into code-level analysis, and contribute to product improvements.

Databricks is seeking a Staff Software Engineer for their Money Team to work on billing, usage data, and cost optimization tools. The role involves designing and managing systems for commercializing Databricks products, developing pricing strategies, and enhancing engineering efficiency. A key aspect is using AI and LLMs for cost insights and optimization, leveraging the Databricks Data + AI platform.

Databricks is seeking a Staff Data Scientist to join their Data Team, focusing on building data-driven products and tooling to inform decision-making and integrate with their core platform. The role involves applying Data Science/ML in production, collaborating with stakeholders, and mentoring junior scientists.

Solutions Architect role focused on Databricks platform for digital native customers, involving technical leadership, architecture consultation, proof-of-concept implementation across data engineering, data science, and ML workflows, and promoting open-source projects.

Solutions Architect role at Databricks focused on leading customer adoption of the Databricks Unified Analytics Platform, including data engineering, data analytics, data science, and machine learning solutions. Responsibilities include identifying use cases, developing architectures, guiding implementations, and partnering with sales.

Solutions Architect for Databricks, focusing on emerging enterprise clients. This role involves leading customer adoption of the Databricks Unified Analytics Platform, consulting on big data architecture, implementing proof of concepts for data science and machine learning projects, and guiding customers through implementations. The role requires technical leadership, strong communication skills, and expertise in data engineering, data analytics, data science, and machine learning technologies, with a focus on open-source projects like Apache Spark, MLflow, and Delta Lake.

Solutions Architect for Databricks' Digital Natives team, focusing on big data, data engineering, data science, and machine learning solutions. The role involves collaborating with customers and internal teams to design architectures, implement proof-of-concepts, and provide technical leadership using the Databricks platform and APIs. Expertise in either Data Engineering or Data Science/ML technologies is required.

Solutions Architect at Databricks to partner with customers in designing scalable data architectures using Databricks technology. This role involves driving technical discussions, establishing the Databricks Lakehouse as a standard, building reference architectures, and proving out Databricks technology for customer projects. The role also involves promoting Databricks open-source projects.

This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required.

This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required.

This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required.

This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required.

This role is for a Resident Solutions Architect focused on big data and AI projects using the Databricks platform. The architect will work with clients on short to medium-term engagements, providing data engineering, data science, and cloud technology solutions. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for big data and AI applications. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer service. U.S. citizenship and eligibility for a U.S. government secret clearance are required.

Manager, Field Engineering for Healthcare and Life Science at Databricks, leading a pre-sales Solutions Architect team focused on Greenfield Accounts. The role involves guiding teams to solve complex challenges using Databricks' Data Intelligence Platform, supporting sales cycles, and accelerating adoption of modern data and AI capabilities in healthcare and life sciences. Requires leadership in enterprise software, big data/analytics, data engineering, and data science.

This role is for a Senior Engineering Manager at Databricks, focusing on building and scaling infrastructure and products for their data and AI platform. The manager will lead a team responsible for resource management, scalable services, and tools for engineers, operating at the intersection of machine learning and distributed systems.

Solutions Architect for Databricks' Financial Services team, focusing on the insurance sector. This role involves partnering with sales, providing technical leadership to customers, consulting on big data architecture, executing proof of concepts, and building reference architectures using the Databricks Data Intelligence Platform. The role requires expertise in cloud platforms, data engineering, data analytics, and machine learning/AI, with a focus on open-source projects like Apache Spark, Delta Lake, and MLflow.

Field Engineering role focused on driving Databricks platform architecture and security best practices in the APAC/Japan region. The role involves guiding customers, supporting field teams, influencing product direction, and acting as a thought leader through external communication.

Lead a team of technical pre-sales Solutions Architects and Solutions Engineers in Qatar & Africa, driving revenue through effective sales partnerships, coaching, and relationship building with large corporations. Requires experience managing Big Data, Cloud, or SaaS professionals and a technical background in Data Engineering, Database technologies, or Data Science.

This role focuses on guiding customers through the onboarding and deployment of the Databricks platform in their production environments, providing technical assistance and ensuring a positive customer experience. It requires knowledge of data engineering, data warehousing, and cloud platforms, with a bonus for Data Science and ML experience.

Manager, Field Engineering (Solutions Architects) to build and lead a pre-sales team focusing on assigned accounts. Responsibilities include managing hiring, scaling the team, fostering a collaborative culture, supporting sales cycles, and building customer relationships. Requires experience in Pre Sales Manager roles with Big Data, Cloud, or SaaS, knowledge of data-driven decisions, AI, and Cloud software, and a background in Data Architecture.

Manager, Field Engineering (Solutions Architects) to build and lead a pre-sales team focusing on assigned accounts. Responsibilities include hiring, scaling the team, fostering a collaborative culture, increasing the ROI of SA involvement in sales cycles, and promoting value-based selling. Requires experience in Pre Sales Management with Big Data, Cloud, or SaaS professionals, scaling and mentoring technical teams, and background in Data Architecture.

This role is for a Senior Engineering Manager at Databricks to lead foundational teams within Trust and Safety. The focus is on building and scaling critical infrastructure and services for their data and AI platform, emphasizing reliability, security, and performance at cloud scale. The role involves defining strategy, providing technical oversight, and growing engineering talent.

Manager, Field Engineering for Healthcare & Life Science leading a pre-sales Solutions Architect team focused on enterprise software, big data/analytics, data engineering, and data science solutions within provider accounts.

This role is a Sr. ISV & Partner Solutions Architect at Databricks, focusing on building technical relationships with C&SI partners to drive indirect revenue and accelerate customer adoption of Databricks' data and AI platform. Responsibilities include providing technical expertise, developing joint solutions, supporting customer deals, representing Databricks at events, and gathering product feedback. The role requires extensive experience in customer/partner-facing technical roles and familiarity with agentic frameworks or ML/data science.

Databricks is seeking a Senior Software Engineer to design and build the compute infrastructure that powers their Data and AI platform. This role involves developing compute abstractions, workload orchestration, scheduling systems, and fleet management for millions of VMs across major cloud providers, ensuring high elasticity, reliability, and cost efficiency for diverse workloads including serving, batch, stateful, and GPU-intensive tasks. The ideal candidate will have extensive experience in large-scale distributed systems and cloud platforms.

This role is for a Specialist Solutions Architect focused on Cloud Infrastructure & Platform at Databricks. The primary responsibility is to guide customers in the administration and security of their Databricks deployments, architecting production-level deployments, and assisting Solution Architects with technical sales. While Databricks is an AI company, this specific role is customer-facing and focused on platform implementation and support, not direct AI/ML model development or research.

Manager for a team of Specialist Solutions Architects focused on the technical sales cycle for Databricks, with expertise in enterprise software, data engineering, and data science/machine learning. The role involves leading, training, and growing the team, supporting complex customer engagements, and driving platform usage.

This role is for a Sr Staff Production Engineer focused on securing and evolving Databricks' global platform infrastructure, particularly in highly regulated and sovereign environments. The engineer will own and automate IAM, access patterns, and guardrails across AWS, Azure, and GCP, ensuring reliability and security. Responsibilities include managing security data pipelines, compliance evidence, and participating in incident response for critical security and access infrastructure.

This role focuses on owning and evolving the secure infrastructure, access patterns, and guardrails for Databricks' global platform, ensuring its operation in highly regulated, air-gapped, and sovereign environments. The engineer will design, automate, and operate IAM, account lifecycle, and cloud identity policies across AWS, Azure, and GCP, build reliable automation for cloud changes, own security and audit logging data pipelines, and operate specialized, highly regulated environments. The role also involves on-call duties and incident response for critical security and access infrastructure.

Senior Software Engineer on the IT Infrastructure team responsible for evolving core infrastructure and observability platforms. This role involves architecting and automating AWS infrastructure using Terraform/Pulumi, managing Kubernetes workloads, CI/CD pipelines with GitHub Actions, and building internal tools and AI plugins to streamline developer workflows and enhance operational efficiency. The focus is on building resilient, scalable, and automated infrastructure, ensuring AWS environments are cost-optimized, secure, and highly available.

This role focuses on owning and evolving the secure infrastructure, access patterns, and guardrails for Databricks' global platform, ensuring reliability and security in highly regulated, air-gapped, and sovereign environments. Responsibilities include automating IAM, access policies, and security logging pipelines, operating specialized environments like FedRAMP/GovCloud, and participating in incident response.

Databricks is seeking a Staff Software Engineer for their Public Sector team to focus on core backend engineering for their Data Intelligence Platform. The role involves designing, building, and scaling distributed systems for massive scale in sovereign and air-gapped cloud environments, with a strong emphasis on compute efficiency and system resilience. Experience with Scala, Java, Go, C++, distributed systems, and cloud-native applications is required. Candidates must be eligible for TS/SCI clearance.

Software Engineer on the Public Sector team responsible for core backend engineering of Databricks' Data Intelligence Platform for Public Sector clients operating in sovereign and air-gapped cloud environments. Focus on designing, building, and scaling distributed systems for massive scale, with emphasis on zero-waste compute efficiency and 100% system resilience.

Engineering Manager for the App Framework team at Databricks, responsible for building foundational service frameworks and runtime infrastructure that power all microservices. The role focuses on making services fast, reliable, observable, and secure, owning the core application platform including service frameworks, libraries, and abstractions. This is a high-leverage role impacting thousands of services and engineers.

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 managing the technical relationship and driving engineering integrations between Databricks and Microsoft Azure, ensuring seamless product functionality within the Azure ecosystem. It involves roadmap alignment, identifying integration gaps, and accelerating feature delivery, requiring deep expertise in Azure services and strategic technical partnerships.

Solutions Architect for Databricks' Data Intelligence Platform, focusing on Financial Services (Insurance). This customer-facing role involves partnering with sales, providing technical leadership, consulting on big data architecture, executing proofs of concept, building reference architectures, and promoting open-source projects like Spark, Delta Lake, and MLflow. Requires experience in pre-sales or consulting with big data technologies, distributed systems, and public cloud platforms.

This role is for a Sr. Staff Partner Engineer at Databricks, focusing on evolving the technical foundation of the Built-On program. The role involves owning the Partner Well-Architected Framework, creating reference implementations, and collaborating with strategic partners to co-architect their platforms. It also involves shaping the platform roadmap based on ecosystem insights and partner requirements. While the company is an AI company and the role mentions AI/ML domains and AI-assisted tools, the core responsibilities are focused on architecture, engineering, and partner enablement within the Databricks ecosystem, not directly building or shipping AI models or core AI infrastructure.

Engineering Manager for Databricks' Spark Connect team, focusing on platform reliability, scalability, and open-source strategy for Databricks Serverless.

Engineering Manager for Databricks' Lakebase services, focusing on building and scaling mission-critical storage systems that host millions of customer databases. The role involves leading a team of storage and distributed systems experts, driving continuous delivery, ensuring operational excellence, and partnering with other engineering teams to evolve the platform.