Community Technical Moderator
FEQ425R608 Mission
As Community Technical Moderator, you will help our online data practitioner community discover the value of Databricks by providing answers to their technical Databricks platform questions. You will be responsible for ensuring that questions and comments are responded to in an accurate, comprehensive, and timely fashion by providing answers directly, or tapping into a talented bench of subject matter experts (SMEs) for answers. This mission requires technical knowledge, diplomacy, great written communications, and above all a commitment to helping our customers learn and consume Databricks to the benefit of their careers and their organizations.
Outcomes
Be customer-obsessed
Encourage our large network of data practitioners to help each other in their learning journey by providing peer-to-peer community answers where possible
When peers do not answer each other, provide customers with answers to technical questions from our internal subject-matter experts within our Community SLA time frame
Track question and answer status to ensure follow-up and resolution
Drive high member satisfaction, consumption and retention by ensuring questions are addressed in the professional, specific and human manner that best represents Databricks
Develop and maintain strong partnerships with internal and external subject matter experts
Create and contribute to Databricks platform community documentation and knowledge base articles
Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
Embody a spirit of collaboration; coach team members
Liaise with Product, Engineering, Developer Relations, Learning & Certification, Marketing, Legal, Pre- and Post-Sales teams
Competencies
4+ years in understanding including Data Engineering, Data Analysis, and Machine Learning
Deep Spark and Delta understanding
Experience with Medallion Architecture
Familiarity with those open source tools: Unity Catalog, MLflow, Iceberg, Hudi
Deep understanding of either AWS or Azure data services, with relevant experience in the other platform, and familiarity with GCP
The ability to research within complex information landscapes
Demonstrated ability to collaborate and influence in low-resourced environments
Familiarity with community platforms such as Khoros, Vanilla, Discourse (preferred)
Past experience as a moderator or administrator of an online community (preferred)
About the job
Apply for this position
Community Technical Moderator
FEQ425R608 Mission
As Community Technical Moderator, you will help our online data practitioner community discover the value of Databricks by providing answers to their technical Databricks platform questions. You will be responsible for ensuring that questions and comments are responded to in an accurate, comprehensive, and timely fashion by providing answers directly, or tapping into a talented bench of subject matter experts (SMEs) for answers. This mission requires technical knowledge, diplomacy, great written communications, and above all a commitment to helping our customers learn and consume Databricks to the benefit of their careers and their organizations.
Outcomes
Be customer-obsessed
Encourage our large network of data practitioners to help each other in their learning journey by providing peer-to-peer community answers where possible
When peers do not answer each other, provide customers with answers to technical questions from our internal subject-matter experts within our Community SLA time frame
Track question and answer status to ensure follow-up and resolution
Drive high member satisfaction, consumption and retention by ensuring questions are addressed in the professional, specific and human manner that best represents Databricks
Develop and maintain strong partnerships with internal and external subject matter experts
Create and contribute to Databricks platform community documentation and knowledge base articles
Strengthen your AWS/Azure and Databricks platform expertise through learning and internal training programs
Embody a spirit of collaboration; coach team members
Liaise with Product, Engineering, Developer Relations, Learning & Certification, Marketing, Legal, Pre- and Post-Sales teams
Competencies
4+ years in understanding including Data Engineering, Data Analysis, and Machine Learning
Deep Spark and Delta understanding
Experience with Medallion Architecture
Familiarity with those open source tools: Unity Catalog, MLflow, Iceberg, Hudi
Deep understanding of either AWS or Azure data services, with relevant experience in the other platform, and familiarity with GCP
The ability to research within complex information landscapes
Demonstrated ability to collaborate and influence in low-resourced environments
Familiarity with community platforms such as Khoros, Vanilla, Discourse (preferred)
Past experience as a moderator or administrator of an online community (preferred)