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, 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.

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.

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.

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, creating how-to guides, and productionalizing customer use cases. They will consult on architecture and design, bootstrap or implement customer projects, and provide escalated support for operational issues. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, MLOps, and technical project delivery.

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, creating how-to guides, and productionalizing customer use cases. They will consult on architecture and design, bootstrap or implement customer projects, and provide escalated support for operational issues. The role requires experience in data engineering, distributed computing (Spark), cloud ecosystems, MLOps, and technical project delivery.

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.

This role is a Resident Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. The architect will handle technical projects including designing and building reference architectures, creating how-to's, and productionalizing customer use cases. They will guide customers in implementing big data and AI applications, consult on architecture and design, and provide escalated support. The role requires strong experience in data engineering, data platforms, analytics, cloud ecosystems, and distributed computing with Apache Spark. MLOps knowledge and experience with CI/CD for production deployments are also required. A US Top Secret Clearance is mandatory.

This role is for a Resident Solutions Architect on the Professional Services team, focusing on customer engagements using the Databricks platform. Responsibilities include data engineering, data science, and cloud technology projects, designing and building reference architectures, and guiding customers in implementing big data and AI applications. The role requires strong experience in data engineering, distributed computing (Spark), cloud ecosystems, and MLOps, with a focus on technical project delivery and customer consultation. A U.S. Top Secret clearance is required.

This role is for a Sr. Manager, Solutions Architecture within Databricks' Field Engineering team, focusing on the Retail vertical. The manager will lead and promote a team of Solution Architects who focus on enterprise software, big data/analytics, data engineering, and data science. The role involves partnering with sales to increase revenue and ensure customer success, scaling and maintaining an outstanding Field Engineering team, and keeping the team ahead of the technical curve in Data + AI. The ideal candidate has extensive experience in the data space, architecting data-driven solutions for major accounts, and leading technical pre-sales teams.

This role is for a Senior Solutions Architect at Databricks, focusing on the Utilities/Energy sector in London. The primary responsibility is to advise complex customers on adopting the Databricks Data Intelligence Platform, acting as a trusted advisor and technical expert. The role involves developing customer engagement strategies, coaching account teams, influencing stakeholders, and contributing to the technical community through collateral and workshops. A technical background in Data Engineering, DWH, or ML/AI is required, along with a builder mindset for prototyping and creating tailored solutions. Experience with public cloud platforms (AWS, Azure, Google) and coding in Python or SQL is also necessary.

This role focuses on securing enterprise applications, integrations, and data flows, with an emphasis on AI-adjacent use cases, modern access patterns, and cross-system security. The engineer will identify risk, define security requirements, and improve security outcomes through technical judgment and cross-functional partnerships, supporting the secure adoption of SaaS, internal platforms, automation, and AI-connected systems.

This role is for a Data Platform Solutions Architect within Databricks' Professional Services team. The architect will work with clients on big data challenges using the Databricks platform, focusing on data engineering, data science, and cloud technology projects. Responsibilities include designing and building reference architectures, guiding customers in implementing big data and AI applications, and providing technical support. The role requires experience in data engineering, Python/Scala coding, cloud ecosystems, Apache Spark, and MLOps.

This Solutions Architect role at Databricks focuses on applying broad technical expertise across the data platform, including data science, machine learning, and business intelligence, with a deep focus on data warehousing and data engineering. The role involves designing and implementing complex, end-to-end modern data architectures, building scalable data warehouses, and robust data ingestion pipelines. It also includes engaging with clients in technical sales, authoring reference architectures, and guiding customers on the adoption of the Databricks Data Intelligence Platform.

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.

Solutions Architects at Databricks lead the growth of the Databricks Data Intelligence Platform, partnering with sales to help customers understand how Databricks can solve business problems. This role involves providing technical leadership, consulting on big data architecture, executing proof of concepts, building reference architectures, and promoting open-source projects. The role requires experience in customer-facing pre-sales or consulting, designing distributed data systems, programming in Python, SQL, Scala, Java, or R, and experience with public cloud providers and data engineering/warehousing technologies.

This role focuses on building data models, curated reporting tables, forecasts, and dashboards to drive efficiency and effectiveness in GTM Strategy & Operations. It involves leveraging Databricks' platform, building AI-powered querying assistants, and advancing AI initiatives and semantic data curation for AI readiness. The role requires integrating AI into daily workflows using LLM tools to accelerate analytics and evaluating AI-generated outputs.

This role manages a team of Solutions Architects focused on Financial Services clients, helping them define Data and AI strategies, transform data engineering, analytics, and ML/AI workloads. The manager will partner with sales to grow consumption and win new workloads by enhancing team effectiveness, communicating complex solutions, and building customer relationships.

Pre-sales Solutions Engineer role focused on driving adoption of Databricks' ML & AI products within large enterprise accounts by defining and executing technical strategies, working closely with sales teams and technical peers to achieve business outcomes.

Partner Solutions Architect at Databricks, focusing on enabling partners to leverage the Databricks Data Intelligence Platform for data-driven outcomes. Responsibilities include technical enablement, workshops, architecture design, and solution development using technologies like Apache Spark, MLflow, and Delta Lake.

This role is for a Sr. Manager of Field Engineering focused on the Public Sector (Intelligence Community, Navy, Air Force, Space Force). The primary responsibility is to lead and grow a technical sales team that promotes enterprise software, big data/analytics, data engineering, data science, data warehousing, and generative AI solutions. The role involves setting strategy, hiring, training, and enabling the team to drive revenue and customer success, with a focus on technical sales and architectural guidance.

Solutions Architect at Databricks focused on the Public Sector (SLED), leading the growth 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. Requires expertise in cloud platforms, data engineering, data analytics, and data science/ML, using open-source projects like Spark, MLflow, and Delta Lake. Experience with public cloud providers and supporting Public Sector clients is essential.

This role is a hybrid technical and commercial position focused on accelerating customer adoption and maximizing value from the Databricks Data Intelligence Platform. The Delivery Solutions Architect will act as the post-sale technical lead, engaging with customers to drive onboarding, enablement, and successful consumption of Databricks workloads. Responsibilities include technical strategy, issue resolution, coordinating with internal teams, and providing updates on customer health and progress.

Solutions Architects at Databricks lead 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 proof of concepts, building reference architectures, and promoting open-source projects. The role requires expertise in cloud platforms, data engineering, data analytics, machine learning, and AI, and involves guiding customers through implementation to achieve business outcomes.

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.

This role is for a Data & AI Platform Architect within Professional Services, focusing on customer engagements using the Databricks platform. Responsibilities include designing and building data engineering, data science, and cloud technology projects, providing architectural guidance, and ensuring successful adoption of Databricks solutions. The role requires strong data engineering, distributed computing (Spark), and cloud ecosystem experience, with familiarity in MLOps and CI/CD.

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 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 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, 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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

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.

Partner Solutions Architect for Databricks in Europe, focusing on enabling partners to leverage the Databricks Data Intelligence Platform for data-driven outcomes. This role involves technical enablement, workshops, and solution design, with a core strength in data engineering or data science.