Data Architect with Data Vault Experience

About This Role

This role involves designing and delivering production-grade enterprise data platforms, with a focus on Data Vault 2.0 implementations. The architect will apply strong knowledge of data warehousing best practices to support enterprise reporting and analytics needs.

Requirements

• 10+ years of hands-on experience in Data Warehousing, Data Engineering, and Data Architecture
• Proven delivery of production-grade enterprise data platforms
• Experience with data warehousing tools and technologies
• Strong, hands-on experience with Data Vault 2.0 in enterprise data warehouses, including practical implementation of Hubs, Links, and Satellites
• Strong knowledge of Raw Vault, Business Vault, and Information/Data Mart design
• Solid grounding in dimensional modelling (Kimball) including Star and Snowflake schemas, fact and dimension table design along with slowly changing dimensions and hybrid DW architectures
• Hands-on experience designing scalable, auditable, and historized data models that support enterprise reporting and analytics needs
• Experience building and managing data pipelines using Snowflake, Airflow, DBT, and Python, following modern ELT patterns

Qualifications

• A minimum of 10 years of hands-on experience in Data Warehousing, Data Engineering, and Data Architecture

Skills

* Required skills