- Must have at least 4 years of experience as a Snowflake Data Architect and 8 years in Data Warehouse, ETL, and BI projects
- Ability to recommend and design strategies for snowflake compute optimization - query performance, concurrency management.
- Design Snowflake data architectures that are both scalable and efficient, aligning with business needs and best practices
- Expertise in Snowflake - data modelling, ELT using Snowflake SQL, implementing complex stored Procedures and standard DWH and ETL concepts
- Lead the deployment of Snowflake solutions, covering data ingestion from various Data Sources and data transformation.
- Implement best practices for data modeling and querying to monitor and optimize the performance, storage, and cost of Snowflake environments.
- Create and maintain documentation for architecture designs, data models, and operational procedures.
- Identify and resolve issues related to Snowflake performance, security, and data integrity.
- Must have expertise in AWS Platform as a Service
- Take ownership of technical solutions from a design and architecture perspective for both presales and ongoing projects.
- Integrate Snowflake with other cloud services and tools to create seamless data workflows.
- Work closely with Oracle DW, MDM team, data engineers, and business stakeholders to gather requirements and provide technical guidance
- Experience in end to end design and deployment of snowflake cloud data platform
- Experience in snow pipe and other etl/elt tools such as matillion
- Experience in integrating oracle fusion data is a plus
- Independently troubleshoot overall health and issues of data platform.
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