Solutions Architect (Lakebase)

Who We Are Our Team Databricks Ventures Contact Us Careers Working at Databricks Open Jobs Press Awards and Recognition Newsroom Security and Trust Security and Trust DATA + AI SUMMIT JUNE 15–18 | SAN FRANCISCO Join us at the world’s largest data, apps and AI event. Register Ready to get started? Get a Demo DATA + AI SUMMIT JUNE 15–18 | SAN FRANCISCO Join us at the world’s largest data, apps and AI event. Register Login Try Databricks Overview Culture

Benefits Diversity Engineering Research Students & new grads Back to search results Solutions Architect (Lakebase) Singapore Apply now FEQ327R226 Mission The Solutions Architect (Lakebase) team executes on Databricks’ strategic Product Operating Model that provides enhanced focus on earlier stage, highly prioritized product lines in order to establish product market fit, and set the course for rapid revenue growth. They are part of a global go-to-market team mandate, though individually will cover a specific, local region. Clients may span across one or more business units and verticals. By working in partnership with direct account teams, they will jointly engage clients, foster the necessary relationships, position in-depth the specific product line, so as to provide compelling reasons for clients to adopt and grow the usage of the given product. They understand the appropriate approach, the guardrails, and the steps needed to successfully adopt the product line, as clients deliver on their business objectives. The Solutions Architect (Lakebase) is paired with an Account Executive aligned to a given product line with specific targets accordingly. Together, they will devise and implement a strategy across their assigned set of accounts, develop presentations, demos and other assets and deliver them such that clients make an informed decision as they decide to adopt the product-line in a meaningful way. The Lakebase product-line requires the following core technical competencies: 10+ years of transactional database (OLTP) expertise across engineering, product development, administration, and pre-sales, with a proven track record of designing and delivering client-facing solutions. Credibility in influencing OLTP products with the market insight needed to shape and prioritize roadmap capabilities. Experience architecting solutions that integrate transactional data systems within broader Big Data, Lakehouse, and AI ecosystems. Infrastructure, platform and administration expertise around disaster recovery, high availability, backup and recovery, scale-out methods, identity and security management, migrations (vendor-to-vendor, on-prem to cloud) The impact you will have Collaborate with GTM leadership and account teams to design and execute high-impact engagement strategies across your territory. As a trusted advisor, serve as an expert Solutions Architect and "champion," building technical credibility with stakeholders to drive product adoption and vision. Enable clients at scale through workshops and developing customer-facing collateral that helps increase technical knowledge and thought leadership. Influence product roadmap by translating field-derived, data-driven insights into strategic recommendations for Product and Engineering teams Handle the most complex technical challenges in this product line by acting as the tier-3 escalation point for the field, ensuring customer success in mission-critical environments. Competencies &

Responsibilities 6+ years in a customer-facing, pre-sales or consulting role influencing technical executives, driving high-level data strategy and product adoption. Proven ability to co-plan large territories with Account Executives and operate in a highly coordinated, cross-functional effort across GTM and R&D teams. Experience collaborating with Global System Integrators (GSIs) and third-party consulting organizations to drive customer outcomes. Proficient in programming, debugging, and problem-solving using SQL and Python. Hands-on experience building solutions within major public cloud environments (AWS, Azure, or GCP). Broad experience (in two or more) and understanding across the fields of data engineering, data warehousing, AI, ML, governance, transactional systems, app development, and streaming. Undergraduate degree (or higher) in a technical field such as Computer Science, Applied Mathematics, Engineering or similar. A track record of driving complex projects to completion in fast-paced, customer-facing environments. 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. Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Why Databricks Discover For App Developers For Executives For Startups Lakehouse Architecture Databricks AI Research Customers Customer Stories Partners Partner Overview Partner Program Find a Partner Partner Spotlight Cloud Providers Partner Solutions Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Business Productivity Application Development Security Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Product Databricks Platform Platform Overview Sharing Governance Artificial Intelligence Business Intelligence Database Data Management Data Warehousing Data Engineering Business Productivity Application Development Security Pricing Pricing Overview Pricing Calculator Open Source Integrations and Data Marketplace IDE Integrations Partner Connect Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Solutions Databricks For Industries Communications Financial Services Healthcare and Life Sciences Manufacturing Media and Entertainment Public Sector Retail View All Cross Industry Solutions AI Agents AI Governance Cybersecurity Marketing Data Migration Forward Deployed Engineering Solution Accelerators Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast Resources Documentation Customer Support Community Learning Training Certification Free Edition University Alliance Databricks Academy Login Events Data + AI Summit Data + AI World Tour AI Days Event Calendar Blog and Podcasts Databricks Blog AI Blog Data Brew Podcast Champions of Data & AI Podcast About Company

Who We Are Our Team Databricks Ventures Contact Us Careers Open Jobs Working at Databricks Press Awards and Recognition Newsroom Security and Trust About Company

Who We Are Our Team Databricks Ventures Contact Us Careers Open Jobs Working at Databricks Press Awards and Recognition Newsroom Security and Trust Databricks Inc. 160 Spear Street, 15th Floor San Francisco, CA 94105 1-866-330-0121 See Careers at Databricks © Databricks 2026 . All rights reserved. Apache, Apache Spark, Spark, the Spark Logo, Apache Iceberg, Iceberg, and the Apache Iceberg logo are trademarks of the Apache Software Foundation . Privacy Notice | Terms of Use | Modern Slavery Statement | California Privacy | Your Privacy Choices

A meeting lands on your calendar

If they’re a yes, I book the chat. You show up — that’s the whole job-hunt.