Senior Developer Advocate

About OnehouseOnehouse is a mission-driven company dedicated to freeing data from data platform lock-in. We deliver the industry’s most interoperable data lakehouse through a cloud-native managed service built on Apache Hudi. Onehouse enables organizations to ingest data at scale with minute-level freshness, centrally store it, and make available to any downstream query engine and use case (from traditional analytics to real-time AI / ML). We are a team of self-driven, inspired, and seasoned builders that have created large-scale data systems and globally distributed platforms that sit at the heart of some of the largest enterprises out there including Uber, Snowflake, AWS, Linkedin, Confluent and many more. Riding off a fresh $35M Series B backed by Craft, Greylock and Addition Ventures, we're now at $68M total funding and looking for rising talent to grow with us and become future leaders of the team. Come help us build the world's best fully managed and self-optimizing data lake platform!Onehouse is delivering the next generation of cloud data pipelining by building a fully managed cloud data lakehouse platform. As we execute our product-led growth (PLG) strategy and introduce cutting-edge initiatives like quanton.dev, our goal is to empower organizations to build open, fast, and scalable data architectures without vendor lock-in.We are seeking a Senior Developer Advocate to become the primary public technical advocate of Onehouse. This is a high-visibility, mission-critical role designed for an active, highly technical member of the data and engineering ecosystem. You will act as a trusted product evangelist, guiding developers, architects, and AI practitioners on how to design next-generation data lakehouse architectures. By translating complex infrastructure capabilities into engaging narratives, you will play an instrumental role in driving the awareness, adoption, and scaling of the Onehouse platform.A Typical DayTechnical Storytelling & Content CreationAuthor Authoritative Content: Write high-quality, deeply technical blog posts, tutorials, architectural blueprints, and deep-dives for onehouse.ai and quanton.dev.Build Social Influence: Maintain a highly active, influential presence across developer-focused social platforms (specifically LinkedIn and X) to drive industry-wide conversations.Deliver Compelling Presentations: Represent Onehouse on the public stage by delivering technical talks, running interactive workshops, hosting webinars, and participating in podcasts or developer panels.Hands-on Technical EnablementDevelop Production-Grade Demos: Build, maintain, and open-source complete reference implementations, demo applications, and integration templates on GitHub.Showcase Ecosystem Integrations: Architect and showcase seamless integrations connecting Onehouse with modern data infrastructure tools including Apache Spark, Apache Hudi, Apache Iceberg, Trino, Apache Flink, Apache Kafka, Apache Airflow, dbt, Ray, pyTorch, Apache Polaris.Community Engagement & Feedback LoopsUnite the Ecosystem: Serve as a core advocate and technical resource across open-source communities, including the Apache Software Foundation and modern Lakehouse groups.Drive the Product Feedback Loop: Partner directly with Product Management and Engineering. Gather unfiltered feedback from developers and customers to validate new capabilities, shape product messaging, and directly influence our roadmap.Collaborate Internationally: Work alongside Marketing to coordinate major product launches, lead technical campaigns, and manage analyst briefings with technical authority.What You Bring to the Table:Required Experience & Technical Skills5+ Years of Developer-Facing Experience: Proven background in roles such as Developer Relations, Developer Advocacy, Solutions Engineering, Technical Product Management, or Software Engineering.Deep Data/Lakehouse Domain Expertise: Strong conceptual and practical understanding of modern data lakehouse architectures, open table formats, metadata management, data governance and cloud-native data management.Hands-on Stack Proficiency: Practical experience building, operating, and troubleshooting production pipelines utilizing data technologies such as Apache Spark, Apache Hudi, Apache Iceberg, Trino/Presto, Apache Flink, or Apache Kafka.Cloud Infrastructure Background: Exposure to deploying data solutions on cloud environments, including AWS, Azure, GCP, Databricks, or Snowflake.Programming Skills: Strong coding fluency in at least one modern language, such as Python, Java, Scala, or Go.Demonstrated Communication Portfolio: An active public portfolio of written technical content (blogs, guides, docs) and experience speaking in public forums, conferences, or webinars.Preferred Qualifications & AssetsEstablished Digital Presence: An active, highly engaged public following within the data engineering or AI developer community (e.g., active on LinkedIn, X, personal newsletters, or podcasts).AI Data Inf