A hybrid Data & ML role at Cloudinary.
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Original listing text, shown exactly as published by the company.
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Lead the translation of business and product requirements into scalable data models, transformations, and pipelines.
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Design and own datasets across bronze, silver, and gold layers, including defining grain, aggregations, and data contracts.
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Develop and maintain SQL-heavy data pipelines and Airflow DAGs (workflow logic, dependencies, backfills, python, and lots of SQL).
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Own data correctness for key business metrics (e.g., ARR), including deep root cause analysis and resolution of data issues.
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Define and drive best practices for SQL, data modeling, and pipeline design across the team.
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Optimize queries and data models for performance, scalability, and cost efficiency.
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Collaborate closely with product managers, analysts, and BI developers to refine requirements and ensure high-quality data delivery.
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Develop AI-agents to accelerate data analysis by internal and external users.
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Work with complex data inputs (e.g., JSON, schemas, logs) and incorporate them into robust data pipelines.
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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.
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Strong expertise in writing and optimizing complex SQL queries (advanced joins, aggregations, performance tuning).
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Proven experience building and maintaining Airflow DAGs (or similar orchestration tools), focused on workflow logic, code, and SQL rather than infrastructure.
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Deep understanding of data modeling principles, including designing datasets at the correct grain and preventing data inconsistencies. Use of the medallion model.
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Strong ability to understand business needs and translate them into scalable, maintainable data solutions.
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Demonstrated experience debugging data issues and tracing discrepancies in critical business metrics across pipelines.
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Proficient in Python for orchestration and data workflows.
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Comfortable reading and reasoning about existing code, SQL, DAGs, schemas, and input data formats (e.g., JSON).
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Experience working with cloud data warehouses such as Snowflake, BigQuery, or Databricks.
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Experience in Snowflake and its extended SQL and nuances is a strong advantage.
Cloudinary
Data & ML
26 open roles on Sydicom
Cloudinary is a SaaS company providing cloud media management services for websites and apps. The company is headquartered in San Jose, California.
Source: Wikipedia
