10+ years of experience in data architecture or advanced data engineering Strong hands-on experience with Snowflake (preferred) and/or BigQuery Expertise in dbt for modular data modeling, testing, and transformation Solid proficiency in Python, including automation and data processing libraries Proven track record designing self-service analytics platforms or Customer 360 data products Understanding of data governance, lineage, and metadata management Background in Financial Services or Life Sciences is highly preferred Familiarity with orchestration and CI/CD tooling (e.g., Airflow, Dagster, GitHub Actions)