• Design, develop and oversee the deployment of code in SQL, Python or other applicable languages to build client-facing analytical tools (REST APIs) and complex data pipelines. • Design and develop the orchestration of processes (via Airflow or native cloud tools) that ingest, join and process terabytes of both structured and unstructured data from multiple sources to distribute to storage repositories and API endpoints for data collaboration, AI and machine learning deployment initiatives. • Work with business leadership and technical teams to gather requirements and ensure development work meets business needs; communicate architectural designs to leadership to ensure scope is appropriately captured. • Establish design standards for the development of data pipelines and engineering tools that leverage AI/ML; ensure code is consistent and repeatable. • Provide mentorship to junior team members by assisting with the scoping and architecture of projects from a technical lens. • Provide expertise in development and architecture best-practices within SQL, Python, Airflow and cloud environments such as Google Cloud, Snowflake and AWS.