
Snowflake Data Architect Lead
23 hours ago
This role is designed for an experienced Snowflake Data Architect Lead who can drive data modeling, transformation, and business intelligence initiatives forward.
The ideal candidate will have deep expertise in back-end development, data warehousing, and visualization tools like Tableau, Power BI, and QlikView.
This role requires strong skills in SQL (DDL/DML), spatial analysis, and star/snowflake schema modeling.
Key Responsibilities:
- Data Architecture & Modeling: Design and implement scalable data models using star and snowflake schemas to support business intelligence and analytics.
- SQL Development: Write efficient DDL/DML SQL scripts for data transformation, analysis, and management.
- Business Intelligence & Visualization: Build advanced Tableau dashboards with interactive features such as LOD calculations, set/parameter actions, Sankey diagrams, and sheet swapping.
- Geospatial Analysis: Utilize custom shapefiles, GeoJSON, and spatial calculations to provide deeper geospatial insights.
- Data Governance & Security: Implement best practices to ensure data accuracy, security, and compliance with industry standards.
- Collaboration: Work closely with cross-functional teams, including data engineers, analysts, and business leaders, to develop robust, scalable, and impactful data solutions.
- Performance Optimization: Optimize Snowflake and BI solutions for efficiency, scalability, and fast query performance.
Requirements:
- Expertise in Snowflake – Data modeling, transformation, and performance tuning.
- Strong SQL Skills (DDL/DML) – Writing efficient queries and stored procedures.
- Tableau Development – Proficiency in building complex dashboards and visualizations.
- Experience with Star/Snowflake Schema Modeling.
- Hands-on experience with spatial analysis and geospatial data processing.
- Knowledge of data governance, security, and compliance best practices.
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