Databricks

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.

Staff Backline Engineer role at Databricks focused on deep-dive troubleshooting, root cause analysis, and architectural optimization within the Databricks Data and AI ecosystem. The role involves developing automated workflows and AI-driven diagnostic tools to improve supportability and scale the organization. Requires expertise in either Data Engineering, Product Supportability, or the AI track (ML/GenAI systems, LLMs, agentic workflows).

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.

Solutions Architect for Databricks, focusing on the Public Sector (SLED) in Texas. This role involves leading the adoption of the Databricks Unified Analytics Platform, partnering with sales, providing technical leadership, consulting on big data architecture, implementing proof of concepts for data science and ML projects, and building reference architectures. The role requires expertise in cloud platforms, data engineering, data analytics, and data science/ML, utilizing open-source projects like Spark, MLflow, and Delta Lake. It is a customer-facing role requiring travel and building customer relationships.

Lead a team of Specialist Solutions Architects focused on enterprise software, data engineering, and data science/machine learning within Databricks, driving customer success and platform adoption.

Sr. Solutions Engineer for Databricks Unified Analytics Platform, focusing on Public Sector clients. Responsibilities include partnering with sales, providing technical leadership, consulting on big data architecture, implementing POCs for data science and ML projects, and building reference architectures. Requires experience in distributed data systems, programming, public cloud, and expertise in Data Engineering, Data Warehousing, or Data Science/ML.

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.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is for a Senior Solutions Architect focused on the Lakewatch product line at Databricks, which deals with AI/ML applications in cybersecurity. The architect will guide strategic customers in implementing big data and AI solutions, focusing on anomaly detection, behavioral analytics, and agentic AI workflows. They will collaborate with account teams, provide technical leadership, enable clients through workshops and POCs, and influence the product roadmap by translating field insights into strategic recommendations. The role requires strong experience in cybersecurity engineering, SIEM platforms, and designing customer-facing security solutions, with an emphasis on data and AI applications within cybersecurity.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers, particularly in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers to maximize value and ROI from Databricks workloads. This involves engaging with sales and field engineering, building executive relationships, orchestrating internal teams, and developing technical account strategies and execution plans. The role requires strong technical credibility, project management skills, and the ability to resolve complex escalations.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers, building executive relationships, orchestrating internal teams, and driving the successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to navigate Databricks Product and Engineering teams. U.S. citizenship and eligibility for a U.S. government secret clearance are mandatory.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers, particularly in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers to maximize value and ROI from Databricks workloads. This involves engaging with sales and field engineering, building executive relationships, orchestrating internal teams, and developing technical account strategies and execution plans. The role requires strong technical credibility, project management skills, and the ability to resolve complex escalations.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers, building executive relationships, orchestrating internal teams, and driving the successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to navigate Databricks Product and Engineering teams. U.S. citizenship and eligibility for a U.S. government secret clearance are mandatory.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers, building executive relationships, orchestrating internal teams, and driving the successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to navigate Databricks Product and Engineering teams. U.S. citizenship and eligibility for a U.S. government secret clearance are mandatory.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks platform within manufacturing customers. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding them through onboarding, enablement, and healthy consumption of Databricks workloads. Responsibilities include technical account strategy, issue resolution, and coordinating with various internal teams to maximize customer value and ROI.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks platform within manufacturing customers. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding them through onboarding, enablement, and healthy consumption of Databricks workloads. Responsibilities include technical account strategy, issue resolution, and coordinating with various internal teams to maximize customer value and ROI.

This role is a hybrid technical and commercial position focused on accelerating customer adoption and success with the Databricks platform, particularly in manufacturing. The Solutions Architect will act as the post-sale technical lead, driving customer engagement, technical strategy, and ensuring successful onboarding, enablement, and consumption of Databricks workloads. While the role involves working with Data and AI, its core function is customer-facing technical account management and solution architecture, rather than direct AI/ML model development or research.

Solutions Architect at Databricks focused on Financial Services (Insurance), leading the growth of the Databricks Data Intelligence Platform. 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 data systems, and public cloud providers.

This role is for a Sr. Manager, Field Engineering (Specialist) at Databricks, focusing on expanding the Databricks lakehouse within the Retail, Consumer Goods & Travel/Hospitality GTM vertical. The manager will lead a team of Specialist Solutions Architects (SSAs), focusing on enterprise software, big data/analytics, data engineering, and data science. The role involves a mix of pre-sales (70%) and post-sales (30%) activities, partnering with sales to drive revenue and customer success. Key responsibilities include growing and maintaining the SSA team, managing hiring pipelines, crushing sales targets by building technical points of view, establishing the lakehouse architecture, identifying use cases, validating consumption demand, and acting as trusted advisors. The role also emphasizes driving customer success, establishing executive alignment, and fostering positive team morale and work-life balance.

This role is a post-sale technical lead for Databricks customers, focusing on accelerating the adoption and maximizing the value of the Databricks Data Intelligence Platform. It involves a hybrid technical and commercial approach, collaborating with sales and field engineering teams, managing customer relationships, and ensuring successful implementation and consumption of Databricks products, including AI/ML workloads.

This role is a hybrid technical and commercial position focused on accelerating the adoption and growth of the Databricks Data Intelligence Platform within strategic enterprise customers, particularly in the U.S. Federal Sector. The Delivery Solutions Architect will act as the post-sale technical lead, ensuring customer success by guiding complex customers to maximize value and ROI from Databricks workloads. This involves engaging with sales and field engineering, building executive relationships, orchestrating internal teams, and developing technical account strategies and execution plans. The role requires strong technical credibility, project management skills, and the ability to resolve complex escalations.

Solutions Engineer role at Databricks focused on empowering customers with the Databricks Data Intelligence Platform. The role involves building relationships, acting as a technical advisor, creating working prototypes and demos, and scaling best practices through reference architectures and workshops. It emphasizes a builder-first approach and leveraging AI tools for productivity.

Solutions Engineer role at Databricks focused on empowering customers with the Databricks Data Intelligence Platform. The role involves building relationships, acting as a technical advisor, creating working prototypes and demos, and scaling best practices through documentation and workshops. It emphasizes a builder-first approach and leveraging AI tools for productivity.

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 Senior Solutions Engineer for their Healthcare & Life Sciences team in Amsterdam. The role involves demonstrating the Databricks Data Intelligence Platform to clients, building client relationships, and contributing to the technical community. The position requires technical expertise in Big Data Analytics, AI, AI Agents, and public cloud platforms, with proficiency in a core programming language like Python. The role focuses on pre-sales activities and developing solutions for clients.

This role is for an AI Solutions Architect in a pre-sales capacity, focusing on strategic accounts. The primary responsibility is to demonstrate how Databricks' Data Intelligence Platform can solve complex customer data challenges, acting as a trusted advisor to executives and driving adoption of AI solutions. The role requires strong technical expertise in AI toolings and the broader data landscape, with a focus on delivering measurable business outcomes.

Manager, Field Engineering to lead a team of Solutions Architects in Latam, focusing on enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI. The role involves partnering with Sales to increase revenue and customer success, scaling the team, and ensuring they stay technically advanced.

This role is a hybrid technical and commercial position focused on accelerating customer adoption and success with the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, driving customer engagement, technical strategy, and ensuring successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility, project management skills, and the ability to build executive relationships.

Sr. Solutions Engineer at Databricks to partner with customers, design data architectures using Databricks technology, and drive technical discussions throughout the sales lifecycle. Responsibilities include developing account strategies, building reference architectures, capturing technical wins by consulting on data engineering and ML projects, and promoting open-source projects.

Executive Assistant role supporting a COO in a fast-paced tech environment, with a focus on operationalizing initiatives, managing complex schedules, and leveraging AI tools for administrative efficiency, travel planning, and data synthesis.

Solutions Architect role focused on guiding customers through their data and AI journey using the Databricks platform. This involves collaborating with sales, developing architectures, implementing proof-of-concepts for data engineering, data science, and ML workflows, and promoting open-source projects. Experience with agentic coding harnesses and distributed data systems is required.

Solutions Architect for Databricks in Financial Services, focusing on leading the adoption of the Databricks Data Intelligence Platform. This customer-facing role involves understanding customer business problems, providing technical leadership, consulting on big data architecture, executing proofs of concept, and building reference architectures. The role requires expertise in cloud platforms, data engineering, data analytics, and machine learning/AI, leveraging open-source projects like Spark, Delta Lake, and MLflow.

This role is for a Data & AI Platform Architect within Databricks' Professional Services team. The primary focus is on customer engagements to help them leverage the Databricks platform for big data and AI initiatives. Responsibilities include designing and building reference architectures, productionalizing use cases, and providing technical consulting for data engineering, data science, and cloud projects. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on successful customer adoption and project delivery.

This role focuses on developing and scaling Go-To-Market (GTM) strategies and enablement for new Databricks product categories, particularly in agentic AI infrastructure and cybersecurity. The individual will build and ship AI-powered enablement tools, design demo environments, and establish feedback loops between Product/Engineering and the field. The role requires a builder mentality, strong product instinct, and the ability to create scalable, multi-format enablement programs.

This role is a Sr. Delivery Solutions Architect focused on AI-native customers using the Databricks platform. It's a hybrid technical and commercial role responsible for post-sale technical strategy, execution, and driving customer success and adoption of Databricks workloads. The architect acts as the technical lead, resolving issues, coordinating resources, and developing execution plans to accelerate use cases into production.

Solutions Architect role focused on guiding 'AI native' customers in leveraging the Databricks platform for data engineering, data science, and machine learning workflows. Involves consulting on architectures, implementing proof-of-concepts, and collaborating with sales and product teams. Requires expertise in distributed data systems, Python/SQL, and cloud providers, with a strong preference for data engineering or ML technologies.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements to address big data challenges using the Databricks platform. Responsibilities include data engineering, data science, and cloud technology projects, integrating systems, and providing technical guidance for customer adoption. The role involves end-to-end design, build, and deployment of big data and AI applications, offering escalated support, and providing product feedback. Requires 8+ years of experience in Big Data technologies, Python/Scala coding, technical project delivery, and client management.

This role is for a Sr. Manager, Field Engineering focused on the Public Sector (SLED) segment. The primary responsibility is to lead and grow a team of Solutions Architects, partnering with Sales to drive revenue and ensure customer success with Databricks' offerings, including generative AI. The role requires strong leadership, technical sales experience, and the ability to build and maintain a high-performing technical team.

This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of the Databricks Data Intelligence Platform within the healthcare and life sciences domain. The Delivery Solutions Architect will act as the post-sale technical lead, guiding customers through onboarding, enablement, and successful consumption of Databricks workloads, ensuring they maximize value and ROI. The role involves engaging with sales and field engineering, managing technical account strategy, resolving technical issues, and coordinating with internal teams and professional services.

Senior Solutions Architect at Databricks, focusing on establishing the Databricks Data & AI platform for strategic new engagements in the Nordics. The role involves technical strategy, executive advisory, driving adoption, and mentorship, with a strong emphasis on data engineering, data warehousing, and GenAI expertise.

This role focuses on applying AI and cybersecurity expertise to design and implement customer-facing security solutions, specifically within the Lakewatch product line. The Solutions Architect will guide strategic customers, drive product adoption, and influence the product roadmap by translating field insights into recommendations for Product and Engineering teams. Key responsibilities include technical leadership, engagement strategy, enabling clients through workshops and POCs, and acting as a tier-3 escalation point for complex technical challenges.

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.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The primary responsibilities involve data engineering, data science, and cloud technology projects, including building reference architectures, MVPs, and guiding customers through big data and AI application implementations. The role requires strong technical skills in SQL, Python/Scala, cloud ecosystems, and DevOps, with a focus on customer success and technical project delivery.

This role is a Delivery Solutions Architect for Financial Services at Databricks. The primary focus is on accelerating customer adoption and maximizing the value they get from the Databricks platform post-sale. It involves a hybrid technical and commercial approach, acting as the post-sale technical lead, driving customer success, and managing technical account strategy and execution. The role requires strong technical project delivery experience in Data and AI, customer-facing experience, and program management skills.

This role is for a Senior Engineering Manager at Databricks to lead a team responsible for the Intelligence and Economics of their infrastructure. The focus is on building a governance and efficiency layer to optimize costs in a multi-cloud environment, particularly for Generative AI and Serverless technologies. The mission is to evolve from cost reporting to Autonomous Governance, managing, enforcing, and optimizing resources globally.