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Leads complex enterprise data and AI strategy for Databricks’ largest customers, designing scalable architectures (multi-workload, real-time, AI/ML) and mentoring teams to drive platform adoption and revenue growth.
Senior Solutions Architect at Databricks designs and advises on big data, AI, and data engineering solutions using the Databricks Lakehouse Platform, collaborating with customers and internal teams to drive technical outcomes.
Designs and drives the technical adoption of Databricks’ data and AI platform for large customers, aligning stakeholders and accelerating production workloads.
You act as a product manager and trusted advisor for Databricks' most strategic customers, scoping high-value AI solutions, defining pilots, and driving end-to-end delivery from discovery to production adoption.
A hands-on, customer-facing engineer who designs and implements data & AI solutions on the Databricks platform, working directly with enterprise clients to deliver production-grade systems and drive measurable outcomes.
Principal Data Scientist at Databricks shapes high-level data-driven decisions for executives by translating complex statistical insights into clear narratives, ensuring rigorous analytical standards across the company.
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.
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