
We are looking for a Senior Data Architect with deep experience in data warehousing, data infrastructure, and large-scale data processing systems. This role focuses on designing and improving the architecture behind data pipelines, with a strong emphasis on automation and AI-driven engineering. The ideal candidate has strong experience designing data warehouse solutions and understands how data moves from multiple sources through ingestion, transformation, validation, and storage. They should also be excited about how AI and automation can change traditional data engineering practices. What You'll Be Doing Define and evolve data architecture for modern data warehouses, including data ingestion, transformation, storage, and processing frameworks. Design scalable and reliable data pipeline architectures that support data from different sources and formats. Establish standards and best practices for ETL/ELT processes, data modeling, data lineage, schema evolution, and change management. Work with SQL, Snowflake, Python, and Apache Airflow to guide and validate the implementation of data architecture. Oversee the architecture and quality of AI-generated pipeline code, ensuring it meets engineering standards and produces reliable results.