Build large, scalable analytics pipelines with modern data tech.
Define data assets (data models) and Spark SQL jobs to populate them.
Collaborate on long-term Data Platform architecture for efficiency and scalability.
Conceptualize and own data architecture for multiple large-scale projects; evaluate tradeoffs.
Work with engineers, product managers, and data scientists to translate data needs into insights.
Design, build, and launch data models and visualizations across domains.

🎯 Requirements

5+ years Spark, Python, Java, C++, or Scala development experience.
5+ years SQL experience.
5+ years schema design, dimensional modeling, and medallion architectures.
Experience with the Databricks platform and data lake architectures.
Excellent product thinking and ability to influence cross-functional teams.
BS degree in Computer Science or related technical field, or equivalent.

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