Lead translation of business requirements into scalable data models, transformations, and pipelines.
Design and own data sets across bronze, silver, and gold layers with grain and data contracts.
Develop and maintain SQL-heavy data pipelines and Airflow DAGs.
Own data correctness for key metrics (e.g., ARR) with root cause analysis.
Define and drive best practices for SQL, data modeling, and pipeline design.
Optimize queries and data models for performance, scalability, and cost efficiency.

🎯 Requirements

7+ years as a Data Engineer, Architect, or similar role.
Strong expertise in writing and optimizing complex SQL queries.
Experience building and maintaining Airflow DAGs.
Deep understanding of data modeling including the medallion model.
Ability to translate business needs into scalable data solutions.
Proficient in Python for orchestration and data workflows.

Apply on employer's website

This employer gathers applications via their own applicant tracking system.

You will be redirected to an external application form.

Share job

Meet JobCopilot: Your Personal AI Job Hunter

Automatically Apply to Data Jobs. Just set your preferences and Job Copilot will do the rest — finding, filtering, and applying while you focus on what matters.

Activate JobCopilot