
Data Architect Leader
1 week ago
As a Data Architect Lead, you will play a key role in shaping the company's data strategy. The ideal candidate will have deep expertise in back-end development, data warehousing, and visualization tools like Tableau, Power BI, and QlikView. This position requires strong skills in SQL (DDL/DML), spatial analysis, and star/snowflake schema modeling.
About the Role:
- 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: 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.
- Data Governance & Security: Knowledge of data governance, security, and compliance best practices.
- Education: Bachelor's or Master's degree in Computer Science, Data Science, or a related field.
- Experience: Minimum of 7 years of experience in data architecture, business intelligence, or a related role.
- Proven Experience: Proven experience in designing and implementing enterprise data solutions.
Additional Requirements:
- Proficiency in Power BI and QlikView:
- Certifications: Relevant certifications in SQL, Snowflake, Tableau, or other BI tools.
Benefits:
- Bachelor's or Master's degree in Computer Science, Data Science, or a related field:
Industry: Technology, Information and InternetSeniority level
Mid-Senior levelEmployment type
Full-time
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