Data Engineering


  • From Support to Data Science and Analytics: My Journey at Automattic

    “Is it possible to transform a role in customer support into a data science career?”  This question, which once seemed like a distant dream, became my career blueprint at Automattic. This post describes the journey to a data wrangler in a tale of continuous evolution, learning, and adaptation.

  • Quest for Efficient AI: An Evaluation of the Vector Database Landscape

    Earlier this year, due to soaring interest and multiple product initiatives, we went on a quest to evaluate and deploy an internally hosted vector database. We’re in the midst of the AI revolution, and many new AI‑inspired product initiatives rely on vector embeddings. Embeddings are generated by AI models, and take the form of high dimensional…

  • Women of Datamattic | Menaka Sankaralingam

    Welcome to Women of Datamattic—conversations with some of the remarkable women working all over the world to build, maintain, and explore Automattic’s data landscape and make the web a better place. Today’s interviewee is the Code Wrangler, Menaka Sankaralingam.

  • Women of Datamattic: Anna Elek

    Welcome to Women of Datamattic—conversations with some of the remarkable women working all over the world to build, maintain, and explore Automattic’s data landscape and make the web a better place. Today’s interviewee is our Head of Data, Anna Elek. 

  • ExPlat’s Development Principles and Practices

    When we started working on Automattic’s new experimentation platform (ExPlat), it became clear that we needed to agree on the development practices for the project. Achieving consensus was critical, given Automattic’s fractal nature and its strong emphasis on autonomy. In practice, these attributes lead to a high variability of project development cultures across the company, depending…