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# Data Architect - Modern Enterprise Data Platform - Retail experience is Mandatory

- **Company:** VTekis Consulting LLP
- **Location:** Charlotte, NC, United States
- **Experience:** Experienced
- **Contract:** Permanent contract
- **Skills:** Data Architecture, Information Engineering, Data Warehousing, Database Queries, Azure Data Lake, Data Streaming, Enterprise Data Management, Azure Data Factory, Snowflake, Data Lakes, Information Technology, Data Management, Api Design, Databricks
- **Published:** July 17, 2026
- **Apply:** https://www.indeed.com/viewjob?jk=8d264cad87305372

## About the Role

* Strong hands-on experience designing dimensional models, including facts, dimensions, conformed dimensions, grain definition, slowly changing dimensions, surrogate keys, business keys, and semantic-ready structures
 * Practical experience with medallion architecture, lakehouse architecture, enterprise data warehouses, data lakes, and modern cloud data platforms
 * Ability to analyze source systems, define source-to-target mappings, profile data, document business rules, and clarify ingestion, quality, and transformation requirements
 * Experience with data modeling and metadata tools such as ERWIN, ER/Studio, or comparable platforms
 * Clear communication skills with the ability to explain complex data architecture concepts in practical, business-relevant language, * Bachelors or masters degree in Computer Science, Information Technology, Data Engineering, Data Architecture, Engineering, or a related field.
 * 5+ years of experience in data architecture, data modeling, data warehousing, data engineering, or enterprise data platform design.
 * Strong hands-on experience designing dimensional models, including facts, dimensions, conformed dimensions, grain definition, slowly changing dimensions, surrogate keys, business keys, and semantic-ready structures.
 * Practical experience with medallion architecture, lakehouse architecture, enterprise data warehouses, data lakes, and modern cloud data platforms.
 * Ability to analyze source systems, define source-to-target mappings, profile data, document business rules, and clarify ingestion, quality, and transformation requirements.
 * Strong SQL skills and the ability to review, interpret, and guide transformation logic across engineering and analytics teams.
 * Experience with Snowflake, Databricks, Azure Data Factory, Azure Data Lake Storage, or comparable modern cloud data platform technologies.
 * Experience with data modeling and metadata tools such as ERWIN, ER/Studio, or comparable platforms.
 * Understanding of batch, streaming, CDC, API-based, file-based, incremental, merge, append-only, and historical load patterns.
 * A collaborative style, strong judgment, and the ability to influence decisions across business, technical, governance, architecture, and engineering teams.
 * Clear communication skills with the ability to explain complex data architecture concepts in practical, business-relevant language.



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