Big Data/AI - Technical Content Curator

Job Description

The impact you will have:

  • Empower users at scale with simple and engaging technical, implementation and best practices content on Databricks Community
  • Develop and implement an incentive program to source user enablement content and encourage development from internal teams
  • Develop and maintain a review and approval process for internal content to be optimised for Databricks Community and tagged appropriately
  • Provide editorial, communication and SEO expertise and guidance
  • Define and implement standards and guidelines that promote quality and consistency
  • Establish and maintain an editorial calendar to align with enablement priorities and complement content on Databricks Documentations, Knowledge Base articles, Academy training and Blog
  • Collaborate with cross-functional content teams to ensure consistency across content areas and taxonomy
  • Track and report on content impact and trends

What we look for:

  • 4 years of experience in content curation or content management
  • Understanding of big data technologies, such as cloud architecture, Spark, AI, data science, data engineering, ML and more
  • Experience with sourcing content and developing a content pipeline from cross-functional teams, including with incentive program
  • Identify impactful content and optimize for community readiness
  • Excellent writer, editor and communicator with ability to simplify complex content
  • Experience with content SEO
  • Experience in creating structure and processes that streamline tasks and workstreams
  • Strong attention to detail and ability to use data to make decisions

Key Skills

SAN; Content management; Diversity and Inclusion; Wellness; Data analytics; Medical insurance; SEO; big data; Product marketing; Travel insurance

About Company

Databricksmission is to accelerate innovation for its customers by unifying Data Science, Engineering and Business. Founded by the original creators of Apache Spark, Databricks provides a Unified Analytics Platform for data science teams to collaborate with data engineering and lines of business to build data products. Users achieve faster time- to- value with Databricks by creating analytic workflows that go from ETL and interactive exploration to production. The company also makes it easier for its users to focus on their data by providing a fully managed, scalable, and secure cloud infrastructure that reduces operational complexity and total cost of ownership.

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