4 months ago
Remote, WorldwideMid Level / Senior
Responsibilities
- Engage actively in the DataHub Slack community by answering technical questions and fostering positive interactions.
- Create compelling technical content such as blog posts, tutorials, and videos to educate users about DataHub's features.
- Deliver impactful technical presentations at conferences and community events to promote DataHub.
- Collaborate with product and engineering teams to translate technical concepts into clear content.
- Develop and maintain example projects and resources to help developers succeed with DataHub.
- Identify opportunities to improve DataHub's developer experience and advocate for user needs.
- Partner with marketing to build campaigns that attract new developers and increase community engagement.
Requirements
- Previous experience in a Developer Advocate role in the metadata or open source ecosystems.
- Hands-on experience using DataHub with expertise in data engineering and metadata management.
- Strong communication skills, both written and verbal, with a talent for simplifying complex concepts.
- Proven experience creating technical content such as blog posts and video tutorials.
- Comfortable speaking at events and leading workshops.
- Experience contributing to open-source projects and engaging with technical communities.
- Empathy and patience to help developers of varying skill levels succeed.
- Familiarity with data ecosystems like Apache Kafka, Spark, dbt, or Airflow is a plus.
Benefits
- Competitive compensation reflecting skills and experience.
- Equity for every team member, providing ownership in the company.
- Remote work options available for all roles.
- Location flexibility with a monthly coworking stipend.
- Comprehensive health coverage, covering 99% of medical, dental, and vision premiums for employees.
- Flexible savings accounts to cover healthcare costs.
- Support for every path to parenthood through inclusive fertility benefits.
- Unlimited PTO and sick leave policy designed for flexibility.
Tech Stack
Categories
AI & MLData Engineering