Cloudinary
Cloudinary

Staff Data Engineer – Data Modeling

TLDR

Lead the design and implementation of scalable data models and pipelines while optimizing performance and ensuring data accuracy across multiple business metrics.

Requirements
  • 7+ years of experience as a Data Engineer or Architect or in a similar data-focused role, with clear ownership of end-to-end data solutions.

  • Strong expertise in writing and optimizing complex SQL queries (advanced joins, aggregations, performance tuning).

  • Proven experience building and maintaining Airflow DAGs (or similar orchestration tools), focused on workflow logic, code, and SQL rather than infrastructure.

  • Deep understanding of data modeling principles, including designing datasets at the correct grain and preventing data inconsistencies.  Use of the medallion model.

  • Strong ability to understand business needs and translate them into scalable, maintainable data solutions.

  • Demonstrated experience debugging data issues and tracing discrepancies in critical business metrics across pipelines.

  • Proficient in Python for orchestration and data workflows.

  • Comfortable reading and reasoning about existing code, SQL, DAGs, schemas, and input data formats (e.g., JSON).

  • Experience working with cloud data warehouses such as Snowflake, BigQuery, or Databricks. 

  • Experience in Snowflake and its extended SQL and nuances is a strong advantage.

  • Cloudinary is an Image and Video API platform that empowers developers and businesses to manage the entire media lifecycle at scale, enabling them to deliver exceptional digital experiences. With a focus on smart, scalable technology, it serves over 10,000 companies worldwide, positioning itself as a critical tool in the visual landscape of the web.

    Founded
    Founded 2011
    Employees
    201-500 employees
    Industry
    Internet Software & Services
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