Data Modeler - Advanced Skills

- Develop and sustain CIM-based logical and physical data models that align with IEC standards (61970, 61968, 62325). - Generate and oversee CIM Profiles (UML, RDF/XML, JSON-LD) customized for utility applications. - Analyze and implement CIM extensions for utility-specific requirements including distribution, transmission, DER, and markets. - Maintain semantic consistency across systems by leveraging CIM as the canonical data model. - Aid in system-to-system integration design efforts. - Map source-system schemas to CIM classes, attributes, and relationships. - Facilitate analytics and AI initiatives by aligning operational and business data into analytics-ready structures. - Support data-lake and lakehouse architectures with carefully curated CIM-based data formats. - Preserve business and technical metadata, definitions, and interrelations within a data catalog. - Establish and uphold data standards, naming conventions, and modeling best practices. - Engage in data governance efforts, including stewardship assessments and change control processes. - Assist in defining data quality rules and validating semantics. - Review outstanding items and modeling requests for data lake ingestion and integration. - Collaborate with data engineers and subject matter experts to comprehend source-system data. - Validate transformation logic to ensure it aligns with CIM semantic objectives. - Participate in discussions related to architecture and integration design. - Confirm that curated data models are both analytics-ready and consistent. - Specify and manage business definitions and technical metadata. - Identify and solve any semantic or data quality challenges. - Document modeling decisions and take part in governance evaluations.