
Top Hat is transforming student engagement by empowering educators to deliver personalized, meaningful and equitable learning. More than 3 million students at 750 of the top 1,000 colleges and universities in North America have used Top Hat.
201 - 500 employees
October 20

Top Hat is transforming student engagement by empowering educators to deliver personalized, meaningful and equitable learning. More than 3 million students at 750 of the top 1,000 colleges and universities in North America have used Top Hat.
201 - 500 employees
• Play a central role in building robust BI (dimensional) and ER models that power analytics, reporting, and product-facing features • Contribute to medallion-style architecture as a layered approach to data delivery • Design & Model Data: Build and optimize BI-oriented dimensional models (star/snowflake) and ER data models • Develop and maintain reliable, scalable ETL/ELT pipelines using SQL, Python/Scala, and orchestration tools (e.g., Airflow, MWAA) • Implement validation frameworks, manage access controls, and handle PII data responsibly • Transform and optimize structured and semi-structured data (JSON, Avro, Parquet) • Apply graph database concepts (e.g., Neo4j) for lineage, metadata, or relationship-driven use cases • Partner with analytics, product, and data science teams to translate requirements into robust and accessible datasets
• 3+ years building production-grade pipelines and data assets • Solid understanding (Intermediate) in layered/medallion architectures and entity modelling • Strong proficiency in SQL query tuning and optimization • 3-4 years using Python (or Scala) for production-grade transformations • Hands-on with at least one or multiple cloud platforms (AWS, GCP, or Azure) • Practical experience with Athena, Redshift, BigQuery, Snowflake, or Databricks • 3+ years using orchestration frameworks (Airflow, MWAA, Dagster, etc.) • Working familiarity and optimization of structured & semi-structured data • Proven experience implementing governance, access controls, and PII handling (Senior) • 1–2 years experience with graph modelling and query optimization • Expected 2–3 years for Event-Driven Architectures (Kafka, Kinesis, Pub/Sub)
• Competitive health benefits that start on day one • Flexible, remote first work environment • Professional learning and development for all role levels • Innovative PTO policy with lots of time and space for self-care
Apply NowOctober 9
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