Lead Data Engineer/Modeler
Carrier Global CorporationMatch Score
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Job Description
Structured overview of role & requirementsAbout This Role
Design and maintain enterprise data models for scalable analytics, governed data products, AI/ML initiatives, and self-service reporting.
Serve as interface between business stakeholders, data engineering, governance, and analytics teams to ensure consistent, reusable, business-aligned data structures.
Establish and uphold data modeling standards, optimize data structures for cloud platforms like Snowflake and BigQuery, and support AI-ready data solutions.
Minimum Requirements
Bachelor's degree in Computer Science, Information Systems, Engineering, Mathematics, or related field.
8+ years of experience in Data Modeling, Data Architecture, or Enterprise Data Management.
Strong skills in dimensional (Kimball), enterprise, and data vault modeling; semantic layer design; master and reference data management; advanced SQL; and cloud data platforms (Snowflake, Big Query, Lakehouse).
Experience with enterprise analytics, reporting, data governance, metadata management, and data quality principles.
Ideal Candidate Profile
Experienced senior data modeler/lead with 8-12 years in enterprise data modeling and architecture for analytics and AI use cases.
Skilled in translating complex business requirements into governed, reusable data models across multiple domains and technical teams.
Familiar with modern cloud data platforms, governance tools, AI/ML data readiness, and exposure to enterprise system integrations (e.g. SAP, Salesforce).