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Remote role, mid-level (5+ years) and a common data title increase applicant competition.
Specialized MDM and enterprise data modeling skills are transferable across industries but require domain knowledge.
Mandatory 5+ years plus expert data modeling, MDM, SQL and cloud platform skills enforce strict filters.
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Develop and maintain logical and physical data models, database designs, and master data standards to enable efficient data use across operational and analytical consumers.
Establish and maintain a unified, authoritative source of truth for master data by designing governed structures, defining survivorship rules, and resolving cross-system discrepancies.
Support data integrity and usability by diagnosing data-related issues, maintaining lineage documentation, and collaborating cross-functionally to align data standards and deliver consistent outputs.
5+ years of experience in data engineering, data modeling, or master data management within enterprise data environments.
Bachelor’s degree in Computer Science, Information Systems, Data Engineering, or related technical field.
Expert-level proficiency in SQL and logical/physical data modeling including dimensional modeling, Data Vault, and canonical model design.
Working knowledge of ETL/ELT pipeline design, API contracts, Snowflake or Google BigQuery, and exposure to graph-based lineage tools.
Experienced in enterprise-scale master data management with a focus on data integrity, unified data views, and cross-system data reconciliation.
Capable of translating complex data requirements into clear documentation for both technical and non-technical stakeholders, enhancing cross-team collaboration.
Skilled in operating within matrixed teams involving data engineering, architecture, analytics, and product environments to embed standards early and maintain data consistency.