Databricks

This role is for a Big Data Solutions Architect on the Professional Services team, working with clients on short to medium-term engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, creating how-to guides, and productionalizing customer use cases. The role involves consulting on architecture and design, bootstrapping or implementing customer projects, and providing escalated support for operational issues. It requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering value to customers through the Databricks platform.

This role is for a Big Data Solutions Architect on the Professional Services team, working with clients on short to medium-term engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, creating how-to guides, and productionalizing customer use cases. The role involves consulting on architecture and design, bootstrapping or implementing customer projects, and providing escalated support for operational issues. It requires experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering value to customers through the Databricks platform.

This role is for a Senior Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing and building reference architectures, productionalizing use cases, and consulting on big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

This role is for a Senior Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing and building reference architectures, productionalizing use cases, and consulting on big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

This role is for a Senior Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing and building reference architectures, productionalizing use cases, and consulting on big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide expertise in data engineering, data science, and cloud technologies to help clients integrate systems, train models, and derive value from their data. Responsibilities include designing reference architectures, productionalizing use cases, consulting on architecture, and supporting customer operational issues. The role requires strong experience in data platforms, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on delivering end-to-end data architectures and scalable solutions.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing reference architectures, productionalizing use cases, and guiding customers in implementing big data and AI applications. The role involves end-to-end design, build, and deployment, with a focus on customer adoption and support.

Delivery Solutions Architect at Databricks, focusing on accelerating customer adoption and success with the Databricks Data Intelligence Platform. This hybrid technical and commercial role involves leading post-sale technical strategy, resolving production issues, coordinating with internal teams, and driving customer value and ROI.

Pre-sales Solutions Architect role at Databricks, focusing on data, AI, and big data solutions on public clouds. The role involves guiding technical evaluation phases, acting as a technical advisor to the sales team, and collaborating with product teams to help customers achieve data-driven outcomes using the Databricks Data Intelligence Platform. Responsibilities include creating reference architectures, migration plans, and demo applications, integrating Databricks with third-party applications, leading workshops, and engaging with the technical community. Requires experience in pre-sales or post-sales with external clients, public cloud architecture design, and basic technical understanding of data, ML/AI, and SQL.

This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of Databricks platform workloads. The Delivery Solutions Architect will act as the post-sale technical lead, collaborating with sales and field engineering teams to guide customers, build executive relationships, and drive the successful implementation and consumption of Databricks solutions. The role requires strong technical project delivery experience in Data and AI, customer-facing experience, and program management skills.

This role is a Delivery Solutions Architect at Databricks, focused on empowering customers to solve data problems using the Databricks Data Intelligence Platform. The architect acts as a trusted technical advisor, guiding customers in designing, implementing, and scaling data and AI solutions. It's a hybrid technical and commercial role involving architecture reviews, performance optimization, customer enablement, and driving customer growth. While not hands-on coding, strong architectural skills in Data Architecture, Data Engineering, Data Warehousing, or Data Science are essential, with at least 5 years of experience in delivering Data, Analytics, or AI projects.

This role is for a Data Platform Solutions Architect within Databricks' Professional Services team, focusing on helping Emerging Enterprise & Digital Native clients in EMEA leverage the Databricks platform for their big data and AI initiatives. The role involves designing and implementing data architectures, providing data engineering and data science project support, and enabling customers' end-to-end big data journeys. It requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and technical project delivery, with a focus on customer-facing engagements and driving value from data.

Solutions Architect for Databricks' Digital Natives team, focusing on data engineering, data science, and ML. The role involves collaborating with strategic customers and internal teams to design and implement solutions using the Databricks platform, guiding customers through competitive landscapes and best practices, and driving technical discovery to accelerate time-to-value. The role emphasizes building distributed data systems, programming in Python and SQL, and expertise with public cloud providers.

This role is for a Specialist Solutions Architect at Databricks, focusing on guiding customers in building big data and AI solutions on the Databricks Lakehouse Platform. The role involves architectural design, data engineering, and model deployment, with a strong emphasis on production-level workloads, performance tuning, and optimization. Experience with Apache Spark, MLflow, and cloud platforms is crucial, as is the ability to provide technical leadership in customer-facing engagements.

Databricks is seeking a Data and AI Solution Architect for their Professional Services team in Bavaria, Germany. This role involves working with clients on big data challenges using the Databricks platform, providing data engineering, data science, and cloud technology project support. Responsibilities include designing reference architectures, creating how-to guides, productionalizing use cases, and consulting on architecture and design for AI applications. The role requires extensive experience in data engineering, data platforms, analytics, coding in Python or Scala, cloud ecosystems, Apache Spark, and MLOps.

Developer Advocate role focused on the Neon Serverless Postgres platform, engaging with application and agent developers. The role involves maintaining SDKs, creating technical content, community engagement, and gathering feedback to influence product direction, with a focus on staying ahead of the AI curve and supporting AI-driven development.

Staff Data & AI Technical Solutions Engineer role at Databricks, focusing on driving and mentoring others in producing Data & AI technical solutions for customer issues. Requires deep expertise in Data & AI architectures, production environments, and troubleshooting complex customer situations, including deep dives into code and systems architecture related to Databricks products like Spark, Delta, DLT, and Model Serving. The role involves serving as a customer support advisor, influencing engineering for product improvements, and acting as a technical expert and leader within the support organization.

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.

This role is for a Data Platform Solutions Architect within Databricks' Professional Services team. The architect will work with clients on short to medium-term engagements, focusing on big data challenges using the Databricks platform. Responsibilities include designing and building reference architectures, creating how-to guides, productionalizing customer use cases, and consulting on architecture and design for big data and AI applications. The role requires strong data engineering, data science, and cloud technology skills, with experience in Python or Scala, cloud ecosystems (AWS, Azure, GCP), Apache Spark, and MLOps.

Staff Software Engineer for a new, founding team in NYC focused on building vertical AI applications leveraging Databricks. The role involves creating user interfaces for GenAI agents and complex data visualizations, with a UI-first and GenAI-first approach. Requires extensive full-stack experience.

Professional Services role focused on helping clients implement and adopt the Databricks platform for big data and AI applications, involving architecture design, data engineering, and technical project delivery.

Databricks is seeking a Forward Deployed Engineer to embed with strategic customers, design and deliver custom full-stack applications and solutions on the Databricks Data Intelligence Platform. This role involves owning the architecture, leading design decisions, and implementing end-to-end systems that span data engineering, AI, and application development, focusing on driving measurable business outcomes.

This role is a Delivery Solutions Architect at Databricks, focused on being a trusted technical advisor to key customers. The primary responsibility is to translate data, analytics, and AI challenges into business value by designing, implementing, and scaling solutions on the Databricks platform. It involves a hybrid technical and commercial approach, focusing on architecture, operational excellence, and customer enablement, with a goal to drive adoption and growth within assigned accounts. While not a hands-on coding role, it requires strong technical skills in data architecture, engineering, warehousing, or data science, and experience in customer-facing technical roles.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements to help them leverage the Databricks platform for big data and AI challenges. Responsibilities include designing and building reference architectures, productionalizing use cases, and guiding customers in implementing transformational projects. The role requires strong data engineering, data science, and cloud expertise, with experience in distributed computing (Spark) and MLOps.

This role is for a Big Data Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will provide data engineering, data science, and cloud technology project support, including designing and building reference architectures, productionalizing use cases, and consulting on architecture and design for big data and AI applications. While the role involves working with AI applications and MLOps, its core function is in data engineering and platform integration rather than direct AI/ML model development.

Manager, Field Engineering for Databricks in Latam, leading a team of Solutions Architects to drive technical sales, increase revenue, and ensure customer success with Databricks' platform, which includes generative AI capabilities. The role focuses on hiring, training, and enabling the team, maintaining technical expertise, and fostering cross-functional relationships.

Director, Field Engineering role in Benelux to lead pre-sales Solutions Architects, focusing on complex accounts and driving expansion across various industries. The role involves partnering with sales, coaching teams, and building customer relationships to promote Databricks' data and AI platform.

Partner Solutions Architect role focused on enabling partners to leverage the Databricks Data Intelligence Platform for data-driven outcomes, involving technical enablement, workshops, and solution development using technologies like Apache Spark, MLflow, and Delta Lake.

This role is for a Sr. Resident Solutions Architect on the Professional Services team, focusing on helping clients with big data challenges using the Databricks platform. Responsibilities include data engineering, data science, and cloud technology projects, integrating with client systems, and providing technical guidance for customer engagements. The role involves designing and building reference architectures, productionalizing use cases, and consulting on architecture and design for big data and AI applications. While the company is in the AI space and the role touches on AI applications, the core function is big data solutions architecture and professional services, not direct AI/ML model development or research.

This role is a Senior Delivery Solutions Architect at Databricks, focused on accelerating customer adoption and maximizing the value they get from the Databricks Data Intelligence Platform. It's a hybrid technical and commercial role, involving customer engagement, technical leadership, and driving growth by ensuring successful onboarding, enablement, and consumption of Databricks workloads. The role requires strong technical credibility across Databricks products and collaboration with various internal teams.

Solutions Architect at Databricks focused on leading the growth of the Databricks Data Intelligence Platform within the Financial Services sector. This role involves partnering with sales, providing technical leadership, consulting on big data architecture, executing proofs of concept, and building reference architectures. The role emphasizes expertise in cloud platforms, data engineering, data analytics, and machine learning/AI, utilizing open-source projects like Spark, Delta Lake, and MLflow.

Databricks is seeking a Forward Deployed Engineer to embed with strategic customers, design and deliver custom full-stack applications and solutions on the Databricks Data Intelligence Platform. This role involves owning the architecture, leading design decisions, and implementing end-to-end systems that span data engineering, AI, and application development, focusing on driving measurable business outcomes.

This role is for a Sr. Manager of Field Engineering focused on the Agencies segment, leading a team of Solution Architects. The primary focus is on accelerating customer value from data and AI initiatives within the advertising and media industry, partnering with sales to drive revenue and ensure customer success. The role requires strong technical understanding of data, AI, and the advertising ecosystem, as well as leadership experience in managing technical pre-sales teams.

Databricks is seeking a Director of Engineering, Governance Foundation to define and scale security, privacy, and responsible data practices within their products and infrastructure. This role involves leading a team of senior security engineers, designing governance frameworks, and ensuring secure and compliant product development in a rapidly growing, multi-cloud environment. The focus is on embedding security and privacy into engineering workflows, establishing incident learning processes, building a security champions network, and ensuring responsible data use across AI/ML systems.

Databricks is seeking a Director of Engineering, Governance Foundation to define and scale security, privacy, and responsible data practices within their Lakehouse Platform. This role involves designing engineering platforms, guardrails, and operating models to ensure secure and compliant product development. The Director will lead a team of senior security engineers, partner with product and infrastructure leaders, and shape foundational governance systems, with a focus on data governance for AI/ML systems and developer-centric security enablement.

This role is a hybrid technical and commercial position focused on customer success and accelerating the adoption of the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, collaborating with sales and field engineering teams to guide customers through onboarding, enablement, and healthy consumption of Databricks workloads. The role involves managing technical account strategy, resolving production issues, coordinating with internal teams and professional services, and navigating product/engineering for innovations. While the company is in the AI space and the role touches AI workloads, the core function is customer-facing technical account management and solution delivery, not direct AI/ML model building or research.

Sr. Staff Software Engineer on the Money team at Databricks, focused on building and managing billing, usage, pricing, and cost optimization systems. The role involves leveraging Databricks' Data + AI platform and using AI/LLMs for cost insights and optimization.

Backend Senior Software Engineer for Databricks' AI/ML Environments team, focusing on building the infrastructure for AI training and serving environments. The role involves collaborating with other AI infrastructure teams, interacting with customers and product managers, and shaping how developers interact with AI on Databricks.

Staff Fullstack Engineer to build end-to-end, AI-powered applications for internal business workflows, focusing on defining technical roadmaps, system design, and engineering leadership.

Senior Staff Fullstack Engineer to build end-to-end, AI-powered applications for internal business workflows, focusing on technical leadership, roadmap definition, and engineering excellence within the Enterprise Applications team at Databricks.

Global Head of Technical Scale and Strategy for Field Engineering at Databricks, focusing on defining and executing strategies to drive scale, productivity, and technical excellence. The role involves shaping operating models, leveraging AI and automation for efficiency, and collaborating across Product, Sales, Finance, and engineering teams. It requires deep technical understanding of field engineering, enterprise solutions, and technology strategy, with a strong emphasis on influencing distributed teams and driving organizational change.

Fullstack engineer to build new vertical AI applications using Databricks platform, focusing on UI/UX for GenAI agents and complex visualizations. This is a 0-to-1 role in a startup-like environment within a larger company, requiring a UI-first and GenAI-first approach.

Lead Security Architect for Databricks IT, responsible for designing and implementing secure and scalable architectures across cloud, SaaS, and custom applications, with a focus on IAM, Zero Trust, endpoint security, and securing critical business applications and sensitive data. The role also involves building proactive security strategies, securing modern platforms (AWS, Azure, GCP), establishing least privilege, and contributing to the internal strategy for secure AI development.

Databricks is seeking a Sr. Staff Software Engineer to join their Data Platform organization. This role will leverage AI developer tools and techniques to build the Data Intelligence Platform, automating decision-making across Databricks. The engineer will define the future of tools spanning logging, orchestration, data transformation, metric store, governance, and data consumption. Responsibilities include designing and running the Data Intelligence Platform, developing tooling for Databricks on Databricks at scale, partnering with tech leaders, acting as customer 0, and representing Databricks at conferences. The ideal candidate has 15+ years of experience in large-scale distributed systems, 6+ years of technical leadership in production data systems, and experience with performance-sensitive systems.

Solutions Architect role at Databricks focused on leading the adoption of the Databricks Unified Analytics Platform. This customer-facing role involves 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 also involves promoting open-source projects like Spark, MLflow, and Delta Lake. Requires experience in distributed data systems, programming in Python/Scala/Java/R/SQL, and supporting Public Sector clients. Experience with cloud providers (AWS, Azure, GCP) and Data Engineering technologies is expected.

This role is a Sr. Solutions Architect focused on designing and implementing data architectures using Databricks technology for customers. It involves partnering with sales, engaging with technical leads, building reference architectures, and consulting on data engineering and machine learning projects. The role also promotes open-source projects like Spark, Delta Lake, and MLflow.

Fullstack Software Engineer role at Databricks, focusing on building and enhancing AI/BI products, log analytics, and AI enablement features for their data and AI platform. The role involves working on the full stack to create scalable and delightful products, with a specific mention of investing in app builder AI agents.