Design and maintain enterprise data models using Data Vault 2.0, dimensional modeling (Kimball), and normalized approaches (Inmon).
Develop modular, reusable model components that can be adapted across multiple business entities.
Build curated datasets and support the development of data products for business consumption.
Work with engineering teams to implement models on Azure and Databricks platforms.
Align data model designs with ETL/ELT pipelines, ingestion frameworks, and BI/reporting tools.
Ensure models support performance, scalability, and data quality requirements.
Establish and maintain modeling standards, documentation guidelines, metadata structures, and lineage requirements.
Promote consistency and adherence to data governance practices across teams.
Work closely with business stakeholders to translate requirements into data model designs.
Provide guidance and mentorship to junior data modelers.
Serve as a subject matter expert for data modeling methodologies and modern data architecture practices.

Requirements

Bachelor's/Master's in Engineering 8+
Strong experience in Azure, Databricks, Data Vault, and enterprise data modeling

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Data Vault 2.0dimensional modelingnormalized approachesETLELTdata qualitydata governancedata modeling methodologiesdata architecture

mentorshipcollaborationcommunicationstakeholder engagement

Bachelor's in EngineeringMaster's in Engineering