Cloud Architect designing and implementing modular data models for clients in various sectors. Requires expertise in Data Vault, data products and collaboration with data engineers.
Responsibilities
Design and implement standardized, modular data models for various Operating Entities.
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 for specific analytical and operational use cases.
Work closely with data engineers and solution architects for model implementation.
Establish metadata management, lineage tracking, and documentation standards.
Requirements
10-14 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.
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.
Benefits
EXL never requires or asks for fees/payments or credit card or bank details during any phase of the recruitment or hiring process and has not authorized any agencies or partners to collect any fee or payment from prospective candidates. EXL will only extend a job offer after a candidate has gone through a formal interview process with members of EXL’s Human Resources team, as well as our hiring managers.
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