Data Architect

Lead definition, design, and governance of data assets within the Supply Chain IT domain; build data models (conceptual, logical, and physical), define the dbt project structure and modeling standards, implement data quality and privacy controls (PII masking, row-level security, dynamic masking), and manage metadata/lineage. Optimize data pipelines to reduce Snowflake credit consumption and improve report performance while ensuring long-term scalability and cost-efficiency. Collaborate with data engineers, data scientists, enterprise architects, and delivery leads to evaluate new features and tools. Education and experience require a Bachelor's or Master's degree in Computer Science or related field with 6+ years in data architecture, modeling, and data management. Proficiency in dimensional data modeling, Snowflake or cloud data warehouses, dbt/Coalesce, data warehousing/lakes (Databricks, BigQuery, Hadoop), orchestration (Airflow), and BI tools; strong governance and privacy knowledge (GDPR/CCPA). Preferred qualifications include domain experience in Supply Chain or Retail/CPG and relevant certifications.