Data Architect with Data Vault Exp.

Data Architect
Oaks, PA
Contract Role

The Technical Data Architect is a leadership role. They are responsible for ensuring the use of common client architecture patterns and best practices and providing direction to the systems architects and scrum teams. The role involves leveraging cutting-edge cloud and data engineering technologies to drive high-quality and scalable solutions.

What you will do:

• Design, build, and maintain enterprise data warehouse solutions using modern data warehousing methodologies, with a strong focus on Data Vault 2.0
• Implement Data Vault 2.0 models, including Hubs, Links, Satellites, and downstream Information Marts, ensuring auditability, historization, and scalability
• Develop and maintain Raw Vault and Business Vault layers, applying appropriate business rules and transformations where required
• Design and implement dimensional data models (Star and Snowflake schemas) for analytics, reporting, and downstream consumption
• Own the end to end data modeling lifecycle, from source analysis through conceptual, logical, and physical models
• Ensure proper grain definition, conformed dimensions, and consistent business definitions across the data warehouse
• Partner with business and technical stakeholders to translate requirements into scalable and maintainable data models
• Architect, develop, and optimize ELT pipelines using Snowflake, Airflow, DBT, and Python, following modern cloud data warehousing best practices
• Deep understanding of Application Performance Monitoring and ability to develop predictive and prescriptive solutions in the big data arena
• What we need from you:
• BA/BS in a related technical field; or the equivalent in education and work experience
• A minimum of 10 years of experience in Information Technology
• A minimum of 10 years of hands on experience in Data Warehousing, Data Engineering, and Data Architecture, with 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
• Ability to hit the ground running with minimal ramp up on DW concept
  

Best Regards,
Rohit Gupta
Recruitment Manager

VBeyond Corporation |

Note VBeyond is fully committed to Diversity and Equal Employment Opportunity.