- Developing and implementing the overall data architecture within Snowflake, including schema design, data modeling, and database structures.
- Optimizing Snowflake performance by fine-tuning queries, optimizing storage, and implementing best practices for data loading and querying.
- Integrating data from various sources into Snowflake, including on-premises databases, cloud services, and third-party applications, ensuring data quality and consistency.
- Establishing data governance policies and procedures within Snowflake to ensure data integrity, consistency, and availability.
- Collaborating with data engineers, analysts, and other stakeholders to understand data requirements, provide technical guidance, and support data-driven decision-making.
- Analyze large volume of data utilizing various tools (excel, power BI, etc.) and even write their own scripts (python).
- Experience with Snowflake (Snowpark experience a plus)
- Experience designing and working with data warehouses
- Experience building services (including use of Azure Functions) on Azure stack
- General knowledge of SQL and at least familiarity with one of the major relational DB products (Microsoft products are plus)
- PowerBI
- Experience within an financial services organization
- General knowledge of SQL and at least familiarity with one of the major relational DB products (Microsoft products are plus)
- Python scripting
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Senior Snowflake Data Architect - New York, United States - Frank Recruitment Group
Description
One of our clients in the investment management and financial services sector, is seeking a Senior Snowflake Data Architect. This person will be essential in defining their Snowflake environment as they migrate their data into the Azure cloud.
Key Responsibilities
Requirements
**This is an onsite position. MUST be able to go into the office in Manhattan: Monday-Thursday. Friday's are remote.**