Associate Project Manager leading data model design for various Operating Entities using Data Vault methodology. Collaborating with technical teams and implementing data governance standards.
Responsibilities
Design and implement standardized, modular data models that can be adapted across multiple Operating Entities (OEs) at client, leveraging best practices from various modeling methodologies (Data Vault, Kimball, etc.) to deliver curated, reusable “data products” for business use cases.
Develop and maintain enterprise-level data modeling standards based on Data Vault 2.0 principles.
Create “off-the-shelf” data model templates that can be customized for different OEs.
Design curated datasets (data products) for specific analytical and operational use cases.
Work closely with data engineers and solution architects to implement models in cloud/on-prem platforms.
Establish metadata management, lineage tracking, and documentation standards.
Requirements
9-12 years in data architecture and modeling roles using market leading data modeling tools like Erwin or others.
Proven track record in designing enterprise data models and implementing Data Vault solutions.
Strong communication skills to bridge technical and business teams.
Bachelor’s degree in computer science, Software Engineering, MIS or equivalent combination of education and experience
Expertise in Data Vault 2.0 methodology and tools.
Strong knowledge of dimensional modeling (Kimball) and normalized approaches (Inmon).
Experience with data warehousing, data Lakehouse architectures, and cloud platforms (AWS, Azure, GCP).
Proficiency in SQL, ETL/ELT tools, and metadata management.
Familiarity with data governance frameworks and data product concepts.
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