Senior Developer Advocate
Summary
Senior Developer Advocate at Onehouse.ai, creating technical content and demos to promote a cloud-native managed data lakehouse platform built on Apache Hudi, engaging with developers and AI practitioners.
About Onehouse
A Typical Day
- Author 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.
- Develop 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.
- Unite 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.
Technical Storytelling & Content Creation
Hands-on Technical Enablement
Community Engagement & Feedback Loops
What You Bring to the Table:
- 5+ 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.
- Established 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 Infrastructure Experience: Familiarity with vector databases, Retrieval-Augmented Generation (RAG) pipelines, or building data platforms that fuel AI/ML workloads.
- Ecosystem Connections: Existing professional relationships within the open-source communities surrounding Spark, Hudi, Iceberg, Trino, or Flink.
- Developer Tooling Background: Experience building developer-focused libraries, custom SDKs, APIs, or CLI tools.
Required Experience & Technical Skills
Preferred Qualifications & Assets
Originally posted on Himalayas