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Jobs or company...

Data Architect (Wherescape)

Salary undisclosed

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Dice

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This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

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Role: Data Architect (Wherescape)
Location: Remote
Contract: 12+ Months

Our client seeking Senior Data Architect that is part of their Data Analytics team and help them to design and data models and provide data architecture solutions. The ideal candidate will have a strong understanding of data modeling principles and techniques, create and maintain complex data models, including conceptual, logical, and physical data warehouse models, to support analytics use cases. You will work closely with data engineers, analysts, and stakeholders to ensure that our data architecture is robust, scalable, and aligned with our business needs. . Experience modelling Wherescape data models utilizing Data Vault 2.0 data warehouse methodology on Azure is required, and experience in healthcare supply chain is advantageous but not essential.

Responsibilities & Duties:
Direct experience with enterprise class data architectures for business intelligence and artificial intelligence use cases, ability to analyze client data assets.
Ability to partner with technical and non-technical teams to discuss technical details and make recommendations.
Direct experience designing modern data and analytics architectures within Microsoft Azure, leveraging native services.
Direct experience utilizing Wherescape 3D to plan, model, document and deploy data warehouses.
Experience designing and testing Data Vault 2.0 methodology, modelling hubs, satellites and links, implementation of raw vault, business vault and information marts optimized for reporting and analytics.
Have a and inspire to client stakeholders at any level of organization, having the ability to bridge business / IT gap and become a trusted advisor.
Provide technical expertise in data curation, processing, storage, and analytics within cloud environments.

Qualifications:
Excellent experience using Wherescape Red technologies is mandatory.
Experience with the Data Vault 2.0 data warehouse pattern and implementation best practices.
10+ years relational and multi-dimensional data modelling experience.
4+ years designing cloud architectures and implementing data pipelines on AWS, Azure, or Google Cloud Platforms.
Advanced Transact SQL is necessary
Partner with Client Engineers, to "go deep" on as-is process & data assets, while using a non-threatening & persuasive approach.
Lifetime learner that gains knowledge to increase credibility. Strong presentation & facilitation.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.
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