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Lead Databricks’ open-source Developer Advocates, deepen engagement with Apache/Linux Foundation communities, and drive adoption of projects like Apache Spark™, Delta Lake, and MLflow through technical storytelling and community programs.
Build and grow the open-source Omnigent project, a meta-harness for AI agents, by creating demos, docs, and community programs that help developers integrate and contribute to the tool.
Leads enterprise data warehouse (EDW) migrations to Databricks’ platform, collaborating with EMEA leadership to design scalable strategies, develop technical assets, and mentor teams. Focuses on legacy system modernization, cloud architecture, and driving adoption of Databricks’ data and AI solutions.
Solutions Architect partners with French startups to design secure, scalable data and AI architectures on Databricks, guiding them from exploration to production adoption.
Act as the main technical voice for Databricks, partnering with large enterprises to drive ML & AI adoption through proofs-of-concept, demos, and strategic guidance.
Build AI-powered web experiences and integrate LLMs, APIs, and data pipelines to ship production-ready MVPs quickly using TypeScript and React.
Lead QA for a greenfield AI product in Auckland. Define testing strategies, perform functional and end-to-end testing on AI-driven features, and mentor the team.
A Senior Forward Deployed Engineer at Databricks builds and productionizes data/AI solutions for customers using the Databricks platform, owning architecture, design, and implementation of end-to-end systems combining data engineering, AI, and application development.
Oversee large-scale big data and AI projects for Fortune 500 clients, managing scope, risk, and delivery across the ASEAN and Greater China regions while ensuring customer success and commercial goals.
Senior architect designs and implements end-to-end data and AI solutions for enterprise customers using Databricks, leading architecture decisions and ensuring scalable, secure deployments.
Senior Delivery Solutions Architect at Databricks guiding complex customers to maximize value from the Data + AI Platform, driving adoption and technical success across data and AI workloads.
Senior Solutions Engineer at Databricks designs big-data architectures and proofs-of-concept for Fortune 500 customers, integrating Spark, MLflow, and cloud platforms to unify data, analytics, and AI workflows.
Build AI-driven analytics pipelines and agentic systems to automate GTM insights and revenue operations using Python, SQL, and Databricks.
Build AI-powered analytics agents and LLM-driven workflows for Databricks' internal GTM platform used by 6,000+ sales and operations users, leveraging Python, SQL, and Databricks' lakehouse stack.
Own the full lifecycle of short-form video for Databricks' brand channels, using Premiere Pro/DaVinci Resolve, After Effects, and AI tools to create engaging content from raw footage.
Build and deploy AI agents using LLMs, React frontends, and Python middleware, integrating with backend services and ensuring production readiness.
The Senior Forward Deployed Engineer works directly with customers to design, build, and productionize data and AI solutions using the Databricks platform. This role involves leading technical architecture, managing project delivery, and collaborating cross-functionally to drive customer success and product adoption.
Design, develop, and deploy AI applications like risk control systems on an AI-Native data platform, collaborating with cross-functional teams to create enterprise-grade intelligent solutions.
Own backend services, async processing, and data pipelines for an AI platform serving legal firms. Contribute to architecture design and ensure scalable, secure multi-tenant access for enterprise-scale AI systems.
Design and implement production-grade ML and GenAI systems on Databricks for enterprise customers, including RAG, agentic workflows, and MLOps pipelines.
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