MTS, Data Engineering (Snowflake / Finance Systems)

This Member of Technical Staff role in Data Engineering is focused on designing, developing, and optimizing Snowflake-based data solutions to support enterprise finance and revenue processes. You will build and maintain scalable ELT/ETL pipelines, data models, and Snowflake objects including tables, views, streams, tasks, and stored procedures, while implementing performance tuning strategies such as clustering, partitioning, and query optimization. The role requires close partnership with Finance, Data Engineering, and business teams to translate requirements into high-performance data solutions that enable reporting, reconciliation, and analytics. You will support data reconciliation and validation processes, build integrations with upstream and downstream systems via APIs and ingestion frameworks, and contribute to data governance, RBAC security, and compliance frameworks. Experience with data orchestration tools such as Airflow, dbt, or Informatica is important, along with familiarity with finance data concepts including revenue, GL, and reconciliation.