Project description As a Snowflake Engineer, you will drive the design green field implementation of enterprise-scale data solutions on Snowflake. You will lead cross-functional teams, engage with stakeholders, and ensure delivery aligned with regulatory and architectural standards. Responsibilities Design and implementation of new/green field Snowflake data platform and architecture Drive platform setup, integration, performance optimization and capacity planning in Snowflake Experience with automation, CI/CD and Infrastructure‑as‑Code for Snowflake platform Define ELT/ETL frameworks using Snowflake SQL, dbt, and enterprise ETL tools Establish data ingestion and transformation patterns/frameworks for large-scale banking datasets Integrate Snowflake with AWS/Azure data ecosystems and enterprise tools Ensure compliance with APRA regulations and data governance standards Implement security frameworks including RBAC, data masking, and encryption Provide technical leadership, code reviews, and mentoring to engineering teams Engage with client stakeholders for requirement analysis, solution design, and governance Exposure to AI as it evolves within the role and the workplace Skills Must have 5+ years in data engineering, with at least 4+ years in Snowflake (new greenfield platform setup implementation preferred) Experience with dbt, Informatica, Matillion, or similar tools Strong SQL expertise and data modelling (Kimball / Data Vault) Hands-on experience with cloud data services (Snowflake cloud, AWS, Azure, or GCP) Experience leading large-scale data engineering teams Nice to have Banking/Financial Services experience (highly preferred) Knowledge of payments, lending, and risk/regulatory reporting systems Experience with Python, PySpark, and data automation frameworks Exposure to real-time data processing (Kafka, streaming) Familiarity with data governance tools like Collibra or Alation Other Languages English: C1 Advanced Seniority Regular