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 architectur
- eDrive platform setup, integration, performance optimization and capacity planning in Snowflak
- eExperience with automation, CI/CD and InfrastructureasCode for Snowflake platfor
- mDefine ELT/ETL frameworks using Snowflake SQL, dbt, and enterprise ETL tool
- sEstablish data ingestion and transformation patterns/frameworks for large-scale banking dataset
- sIntegrate Snowflake with AWS/Azure data ecosystems and enterprise tool
- sEnsure compliance with APRA regulations and data governance standard
- sImplement security frameworks including RBAC, data masking, and encryptio
- nProvide technical leadership, code reviews, and mentoring to engineering team
- sEngage with client stakeholders for requirement analysis, solution design, and governanc
- eExposure to AI as it evolves within the role and the workplac
e
Mandatory Skills Descriptio
- n:5+ years in data engineering, with at least 4+ years in Snowflake (new greenfield platform setup implementation preferre
- d)Experience with dbt, Informatica, Matillion, or similar too
- lsStrong SQL expertise and data modelling (Kimball / Data Vaul
- t)Hands-on experience with cloud data services (Snowflake cloud, AWS, Azure, or GC
- P)Experience leading large-scale data engineering tea
ms
Nice-to-Have Skills Descripti
- on:Banking/Financial Services experience (highly preferr
- ed)Knowledge of payments, lending, and risk/regulatory reporting syst
- emsExperience with Python, PySpark, and data automation framewo
- rksExposure to real-time data processing (Kafka, streami
- ng)Familiarity with data governance tools like Collibra or Alat
ion
