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Designs and scales data/AI solutions for enterprise customers using Databricks' platform, acting as a trusted technical advisor to drive adoption and business value.
Leads a team of engineers to deliver large-scale data migrations, AI/ML platforms, and GenAI systems for enterprise customers using Databricks and related technologies.
Designs and advises on big data architectures for enterprises using Databricks' Lakehouse Platform, guiding customers through data engineering, AI, and analytics solutions.
Lead pre-sales technical strategy for Japan’s public sector, designing Databricks-based data and AI platforms for government agencies while ensuring compliance and driving mission outcomes.
Pre-sales Solutions Architect at Databricks guides retail/CPG customers through technical evaluations of the Databricks Lakehouse Platform, designing big data and AI solutions while collaborating with sales and product teams.
Designs intuitive AI-powered analytics and business intelligence tools that let users query data in plain language and trust AI-generated insights, collaborating with engineering teams in Seattle.
Lead the strategy for Databricks' Serverless Workspaces, simplifying cloud infrastructure setup to let users spin up secure, governed data/AI environments instantly while balancing enterprise control.
Senior Solutions Engineer at Databricks who designs and implements data platforms for public sector clients using cloud technologies, Apache Spark, and open-source tools.
Leads a team to build and harden the runtime enforcement layer for Databricks' Unity Catalog, ensuring secure data access across compute, engines, and clouds.
Designs and promotes Databricks' Lakebase product line to enterprise clients, advising on OLTP and lakehouse solutions while collaborating with sales and engineering teams to drive adoption and growth.
Build and deploy end-to-end data and AI solutions for enterprise customers using Databricks, leading architecture, coding, and cross-functional collaboration while traveling 20% of the time.
Lead product strategy for Databricks' OLTP databases or data governance features, bridging engineering, field teams, and customer needs to deliver high-performance, compliant data solutions.
Senior Solutions Engineer at Databricks helping clients solve complex data challenges by demonstrating the Data Intelligence Platform, integrating with cloud ecosystems, and providing technical guidance.
Senior engineer who partners with customers to design, build, and deploy end-to-end data and AI solutions on the Databricks platform, traveling 20% of the time.
Senior engineer who partners with media, entertainment and gaming customers to design, build and deploy data/AI solutions on Databricks, traveling 20% of the time.
Senior engineer on Databricks’ Professional Services team who designs and builds big-data solutions for clients, travels 20% of the time, and helps them adopt the Databricks platform.
Lead the vision and roadmap for Databricks Repos, defining how data and AI teams manage code, collaborate, and deploy workflows within the Databricks platform using Git integration and AI-assisted features.
A commercial attorney in Singapore drafts and negotiates SaaS agreements for a data/AI platform company, advising sales teams on cloud contracts, data privacy, AI, and compliance across Asia.
Senior Product Manager at Databricks leading the zero-to-one People Pod initiative to build AI-driven, unified employee experience tools, replacing legacy systems like Workday with agentic workflows on the Databricks platform.
Leads the product vision and roadmap for Databricks' compute platform, coordinating with engineering and customers to deliver scalable data infrastructure solutions using cloud and analytics technologies.
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