Data Modeler (IEC CIM)

Data Modeler (IEC CIM) Location: Remote (Client located in Seattle, WA) Work Schedule: Must be able to work PST hours Position Type: Contract (6 Months) Security Clearance: None required Role Summary Leidos is seeking an experienced Data Modeler to support a large electric utility client headquartered in the Seattle area. This role is responsible for establishing and maintaining a trusted, interoperable data foundation across the utility enterprise using the IEC Common Information Model (CIM) as the authoritative semantic framework. The Data Modeler will translate complex electric utility business concepts into logical and physical data models, ensuring alignment between CIM standards and real-world utility implementations. This position will also support data governance, integration architecture, and analytics enablement, helping ensure operational and business data are structured and analytics-ready across enterprise platforms. Key Responsibilities Develop and maintain CIM-based logical and physical data models aligned to IEC standards (61970, 61968, 62325). Create and manage CIM Profiles using formats such as UML, RDF/XML, and JSON-LD tailored to utility use cases. Interpret and apply CIM extensions to support utility-specific requirements including distribution, transmission, distributed energy resources (DER), and markets. Ensure semantic consistency across enterprise systems using CIM as the canonical data model. Support system-to-system integration design by mapping source-system schemas to CIM classes, attributes, and relationships. Align operational and business data into analytics-ready models to support analytics and AI use cases. Support data lake and lakehouse architectures with curated CIM-based data structures. Maintain business and technical metadata, definitions, and relationships within a data catalog. Define and enforce data standards, naming conventions, and modeling best practices. Participate in data governance activities, including stewardship reviews and change control. Assist with data-quality rule definition and semantic validation. Review backlog items and modeling requests related to data lake ingestion and integration. Collaborate with data engineers and system subject matter experts to understand source system data. Validate transformation logic to ensure alignment with CIM semantic intent. Support architecture and integration design discussions. Ensure curated data models are consistent, governed, and analytics-ready. Define and maintain business definitions and technical metadata. Identify and resolve semantic or data-quality issues. Document modeling decisions and participate in governance reviews. Required Technical Skills 10+ years of hands-on experience with IEC Common Information Model (CIM) including standards 61970, 61968, and/or 62325. Strong understanding of electric utility operations. Experience with logical and physical data modeling techniques. Familiarity with UML, relational modeling, and semantic modeling concepts. Experience mapping operational systems such as WAMS, WACS, and MSCS. Experience supporting utility data lakes or analytics platforms, including AWS or Databricks. Knowledge of RDF, OWL, semantic graphs, or knowledge graphs. Familiarity with ESRI Utility Network, Oracle Utilities, or similar utility platforms. Experience with metadata management and data catalog tools. Understanding of utility regulatory and compliance requirements. Preferred / Nice-to-Have Skills Experience supporting data governance frameworks and stewardship processes. Experience enabling analytics and AI use cases through enterprise data modeling. Qualifications & Experience Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field. 8-12+ years of relevant experience in data modeling, data architecture, or analytics platforms. Strong experience designing enterprise data models aligned with industry standards. Excellent communication and collaboration skills. Ability to work independently and within a cross-functional team environment. Must be able to work Pacific Time Zone hours. About the Team / Project This role supports a large utility enterprise data initiative focused on building an interoperable data foundation across operational and analytics platforms. The Data Modeler will work closely with data engineers, architects, and system subject matter experts to align enterprise data structures with IEC CIM standards, enabling scalable analytics, integration, and governance capabilities across the organization.

Created: 2026-03-06