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Embed data quality and Responsible AI controls into enterprise pipelines, models, and workflows to ensure governed, traceable, and audit-ready data for AI use cases.
Xometry (NASDAQ: XMTR) powers the industries of today and tomorrow by connecting the people with big ideas to the manufacturers who can bring them to life. Xometry’s digital marketplace gives manufacturers the critical…
Develops architectures and integrations for Data LakeHouse platform projects, collaborates with customers and product teams, and creates technical documentation. Core technologies include Data LakeHouse, Cloud Spark, and OLAP systems.
Solutions Architect at Databricks designs and advocates for the Data Intelligence Platform, engaging with media and gaming customers to solve complex data challenges and drive adoption through technical expertise and workshops.
Designs and governs secure, compliant data platforms for a federal agency’s Azure cloud, setting standards for Lakehouse architecture, Zero Trust, and ATO-aligned security while optimizing cost and interoperability.
Builds and maintains GCP-based data pipelines (ETL/ELT) for a restaurant/retail client, focusing on Lakehouse/Data Warehouse architectures and automation in hybrid on-prem/cloud environments.
The Principal Data Platform Architect advises enterprises on designing Snowflake’s Cloud Data Platform, bridging technical and business needs. They lead sales cycles, deliver demos, and collaborate with customers to architect scalable data solutions using Snowflake’s tools and multi-cloud technologies.
Designs and builds scalable data pipelines and Lakehouse architectures on Databricks, focusing on Spark, Delta Lake, and Medallion principles to support analytics, ML, and AI workloads for enterprise clients.
P-1584 At Databricks, we are passionate about enabling data teams to solve the world's toughest problems — from making the next mode of transportation a reality to accelerating the development of medical…
Pre-sales Solutions Architect at Databricks who designs and demonstrates big data analytics solutions for manufacturing, defence, and automotive clients using the Lakehouse Platform and cloud technologies.
Senior Security Engineer focused on incident response, investigating threats and building automations using cloud platforms and AI tools to protect Databricks' systems and data.
Build and scale the platform layer powering Databricks' public-facing web experiences (databricks.com, blogs, landing pages) via CI/CD pipelines, deployment automation, accessibility testing, and consent management infrastructure. Work in an AI-native SDLC with agents assisting across code generation, testing, and deployment, while consolidating fragmented frameworks onto a unified design system.
Designs and builds AI-powered agents to automate and improve Databricks' public web content workflows, including blogs, landing pages, and microsites, using LLM systems and human-in-the-loop review processes.
Senior backend engineer at Databricks building an AI-native platform that orchestrates agents, humans, and enterprise tools into automated workflows, starting with customer support and expanding to other domains.
SLSQ327R496 As a Geo Hunter Account Executive at Databricks, you are a strategic sales professional experienced in selling into accounts with over $1B in Annual Revenue, or well-funded Start-ups valued over $1B. You…
Architect and build Databricks' AI-native agent platform for enterprise workflows, starting with customer support and expanding to other domains like IT and security.
Legal Counsel in London reviews and negotiates commercial contracts for a fast-growing SaaS data and AI platform, partnering with sales teams to enable enterprise customers.
Senior Staff Applied AI Engineer at Databricks builds and owns the retrieval stack and search subagents for AI agents, enabling context retrieval across enterprise SaaS data using IR, RAG, and agentic systems.
Builds intuitive, scalable AI-driven interfaces and workflows for Databricks' platform, leveraging generative AI and modern web technologies in a startup-like NYC team.
Builds AI-powered data applications from scratch in a startup-like team within a large tech company, focusing on intuitive GenAI interfaces and full-stack development.
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