Partner Solutions Architect

Databricks

FEQ327R142 As a Senior Specialist Solutions Architect – Builder Team, this role designs, builds, maintains, and supports projects that integrate and extend the Databricks platform to accelerate data and AI use cases. The position contributes to the roadmap for specific priority projects, helps evaluate partner solutions, and delivers high-quality, production-ready implementations. This role also supports the infrastructure used to maintain Databricks Labs, enabling field engineering teams to contribute to tooling efforts more effectively. The ideal candidate brings strong customer empathy, a product mindset, and the ability to translate tooling needs into robust backend systems. The impact you will have * Build, debug, and extend multiple internal and public infrastructure components of the Databricks Labs ecosystem, with a focus on scalable and reliable backend services and automation. * Implement and maintain backend services, APIs, and automation tools that integrate with the Databricks platform and related ecosystems. * Author high-quality technical documentation, design proposals, and internal guides to scale knowledge and best practices across the organization. * Apply and contribute to engineering best practices, coding standards, and reusable patterns for Labs projects, ensuring consistent and maintainable solution delivery. * Collaborate with cross-functional teams—including Field Engineering, Product, and Platform Engineering—to clarify requirements, propose technical approaches, and deliver projects * Contribute to the evaluation, adoption, and integration of new technologies relevant to Databricks Labs and the automation tooling ecosystem. * Own the design and implementation of small to medium-sized projects end to end, and partner with Lead Specialist Solutions Architects on larger, cross-team initiatives. * Participate in code reviews, design reviews, and incident response, helping improve reliability, observability, and developer experience for field teams. What we look for * Experience delivering complex backend or infrastructure projects in iterative increments, balancing robustness and development speed. * Production experience of 6+ years in backend or infrastructure development, with proficiency in at least two of the following: Terraform, Scala, Go, Apache Spark, Java, Python; experience with at least one compiled language is required. * Passion for defensive programming and building highly scalable and reliable software. * Demonstrated fluency in modern AI and data technologies and proven experience integrating AI capabilities into production systems, such as embedding LLMs, recommendation models, or other ML services into backend applications with appropriate reliability, observability, and security controls. * BS/MS/PhD in Computer Science, Engineering, or a related technical field, or equivalent practical experience. * Excellent written and verbal communication skills, including a track record of producing clear technical documentation, design proposals, and knowledge-sharing materials across teams. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

FEQ427R298 As a Senior Solutions Architect part of a Global Capability Center(GCC) focused Field Engineering team, you will shape the future of the Data and AI landscape by working with the most sophisticated Data and AI teams in the world, including Fortune 500 enterprises and global AI-forward SaaS customers operating globally. In this role, you will be deeply embedded with our named strategic accounts, serving as a trusted long-term technical advisor while also collaborating with internal sales, product, and engineering teams. You will help our customers achieve tangible data-driven outcomes through the Databricks Data Intelligence Platform, helping data teams complete projects and integrate our platform into their enterprise ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in data engineering, analytics, AI and data science. Reporting to the Field Engineering Manager, you will collaborate with our most strategic global prospects and customers, partner with regional field teams across geographies, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. THE IMPACT YOU WILL HAVE * Be the trusted technical advisor for one or more named strategic accounts — building deep, durable relationships with their data, AI/ML, and platform engineering leaders, and earning a seat at the table for their most important architectural decisions. * Help shape and drive your customer's AI strategy — partnering with their data science, ML, and AI platform teams to design GenAI and ML architectures, evaluate build-vs-buy decisions, and turn AI ambitions into production systems deployed on  Databricks. * Partner with the sales team and provide hands-on technical leadership to help large enterprise  customers understand how Databricks can help solve their business problems across the full data and AI lifecycle. * Consult on modern Lakehouse architectures and implement proofs of concept for strategic projects spanning data engineering, data warehousing, machine learning, GenAI— including validating integrations with cloud services, in-house tools, and third-party applications. * Work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks. * Collaborate across regions with fellow Solutions Architects and account teams, supporting our customers with consistent architectural guidance across their international footprint. * Become an expert in, promote, and recruit contributors for Databricks-inspired open-source projects (Spark, Delta Lake, MLflow, Unity Catalog) across the developer community. WHAT WE LOOK FOR * 12+ years in data engineering, data science, technical architecture, or a similar pre-sales / consulting role. * 8+ years hands-on experience with Big Data and AI technologies, including Apache Spark™, data engineering, data science, and modern AI/ML workloads. * Strong hands-on architectural experience — able to whiteboard, design, and personally build end-to-end solutions, not just advise. * Demonstrated experience working with large enterprise or Fortune 500 customers; experience supporting global accounts across multiple geographies strongly preferred. * Experience working with digital-native or SaaS enterprises with mature data and AI practices is a strong plus. * Strong consulting / customer-facing experience working with external clients across a variety of industries. * Coding experience in Python, SQL, Scala, Java, or R. * Experience building distributed data systems at enterprise scale. * Hands-on experience with at least one major public cloud (AWS, Azure, or GCP). * Available to travel to customers in your region and occasionally internationally. * Nice to have: prior experience working in or with a Global Capability Center model; Databricks Certification. About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.

Databricks

FEQ227R53 As a Senior Solutions Architect, you will shape the future of the Data & AI landscape by working with the most sophisticated data engineering and data science teams in the world. You will be a technical advisor internally to the sales team, and work with the product team as an advocate of your customers in the field. You will help our customers to achieve tangible data-driven outcomes through the use of our Databricks Lakehouse Platform, helping data teams complete projects and integrate our platform into their enterprise Ecosystem. You'll grow as a leader in your field, while finding solutions to our customers' biggest challenges in big data, analytics, data engineering and data science problems Reporting to the Field Engineering Manager, you will collaborate with our most strategic prospects and customers, work directly with product and engineering to drive the Databricks roadmap forward, and work with the broader customer-facing team to develop architectures and solutions using our platform. You will guide customers through the competitive landscape, best practices, and implementation, and develop technical champions along the way. The impact you will have: * You will partner with the sales team and provide technical leadership to help customers understand how Databricks can help solve their business problems. * You will work directly with the sales team to develop your book of business, define account strategies, and execute those strategies to help your customers and prospects solve their business problems with Databricks.  * Consult on Big Data architectures, implement proof of concepts for strategic projects, spanning data engineering, data science and machine learning, and SQL analysis workflows. As well as validating integrations with cloud services, home grown tools, and other 3rd party applications * Collaborate with your fellow Solutions Architects, using your skills to support each other and our users * Become an expert in, promote, and recruit contributors for Databricks inspired open-source projects (Spark, Delta Lake, and MLflow) across the developer community. What we look for: * 8+ years in a data engineering, data science, technical architecture, or similar pre-sales/consulting role * 8+ years of experience with Big Data technologies, including Apache Spark™, AI, Data Science, Data Engineering, Hadoop, Cassandra, and others * Strong consulting / customer facing experience , working with external clients across a variety of industry markets * Coding experience in Python, R, Java, Apache Spark™ or Scala * Experience building distributed data systems * Have built solutions with public cloud providers such as AWS, Azure, or GCP * Available to travel to customers in your region * Nice to have: Databricks Certification About Databricks Databricks is the data and AI company. More than 10,000 organizations worldwide — including Comcast, Condé Nast, Grammarly, and over 50% of the Fortune 500 — rely on the Databricks Data Intelligence Platform to unify and democratize data, analytics and AI. Databricks is headquartered in San Francisco, with offices around the globe and was founded by the original creators of Lakehouse, Apache Spark™, Delta Lake and MLflow. To learn more, follow Databricks on Twitter, LinkedIn and Facebook. Benefits At Databricks, we strive to provide comprehensive benefits and perks that meet the needs of all of our employees. For specific details on the benefits offered in your region click here. Our Commitment to Diversity and Inclusion At Databricks, we are committed to fostering a diverse and inclusive culture where everyone can excel. We take great care to ensure that our hiring practices are inclusive and meet equal employment opportunity standards. Individuals looking for employment at Databricks are considered without regard to age, color, disability, ethnicity, family or marital status, gender identity or expression, language, national origin, physical and mental ability, political affiliation, race, religion, sexual orientation, socio-economic status, veteran status, and other protected characteristics. Compliance If access to export-controlled technology or source code is required for performance of job duties, it is within Employer's discretion whether to apply for a U.S. government license for such positions, and Employer may decline to proceed with an applicant on this basis alone.