
Chief Data Visionary
1 day ago
We are seeking an experienced data architect to lead data modeling, transformation, and business intelligence initiatives. 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.
- 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.
- Proficiency in Power BI and QlikView.
- Relevant certifications in SQL, Snowflake, Tableau, or other BI tools.
- Experience in additional data transformation techniques and ETL tools.
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Minimum of 7 years of experience in data architecture, business intelligence, or a related role.
- Proven experience in designing and implementing enterprise data solutions.
Mid-Senior level
Employment typeFull-time
IndustriesTechnology, Information and Internet
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