Sr Lead Software Engineer - 11282

8-10+ years of experience in software or platform engineering, with a focus on building scalable data and analytics platforms

Strong understanding of data ingestion patterns at scale, including CDC, and how data should be modeled and stored in a data lake for fast, efficient retrieval

Proven experience building and operating large-scale data pipelines in production

Experience working with modern data warehouses such as Databricks, BigQuery, or Snowflake

Strong proficiency in Python and SQL, with a focus on writing production-quality, maintainable, and testable code

Hands-on experience working with cloud data services in AWS, GCP, or Azure

Experience working with query engines such as Presto or Trino to enable fast, reliable analytics over data lakes

Familiarity with Lakehouse architectures and table formats such as Iceberg or Delta Lake

Familiarity with data governance, lineage, metadata, cataloging, and data quality practices

Nice to have:

Nice to have exposure to semantic layers, metrics frameworks, or BI-friendly data modeling

Experience supporting analytics or AI/ML workloads

Candidates could be based out of any of these locations: San Francisco, Seattle, New York, Austin, Chicago, Phoenix, Northern Virginia (Fairfax, Arlington, Richmond) OR remote in the US.