Data Modeler - Remote - No Clearance
Data Modeler
Client is seeking a Data Modeler who is motivated by variety, is seeking a challenging environment for professional growth, and is interested in running large information technology projects in various customer businesses areas at large Utility client headquartered in the Seattle area.
We are seeking an experienced Data Modeler who plays a critical role in establishing and sustaining a trusted, interoperable data foundation across the utility enterprise. This position is responsible for translating complex electric-utility business concepts into consistent, standards-based data models using the IEC Common Information Model (CIM) as the authoritative semantic framework.
core responsibility of the role is maintaining alignment between abstract CIM standards and real-world utility implementations. This includes evaluating CIM gaps, managing extensions, guiding proper profile usage, and ensuring that physical and logical data models remain traceable back to CIM concepts. Data Modeler also plays a key role in supporting data governance, acting as a steward of semantic integrity, definitions, and modeling best practices.
Location: This position is remote. Client is located in the Seattle area. Must be willing to work in the PST hours.
Responsibilities :
• Develop and maintain CIM-based logical and physical data models aligned to IEC standards (61970, 61968, 62325).
• Create and manage CIM Profiles (UML, RDF/XML, JSON-LD) tailored to utility use cases.
• Interpret and apply CIM extensions for utility-specific requirements (distribution, transmission, DER, markets).
• Ensure semantic consistency across systems using CIM as the canonical data model.
• Support system-to-system integration designs
• Map source-system schemas to CIM classes, attributes, and relationships.
• Enable analytics and AI use cases by aligning operational and business data into analytics-ready models.
• 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.
• ssist with data-quality rule definition and semantic validation.
• Review backlog items and modeling requests supporting data lake ingestion and integration
• Collaborate with data engineers and system SMEs to understand source-system data
• Map source-system data to CIM classes, attributes, and relationships
• Define and maintain CIM profiles used by the data lake
• Validate transformation logic against CIM semantic intent
• Support architecture and integration design discussions
• Ensure curated data models are analytics-ready and consistent
• 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 Education & Experience:
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• 10+ years Hands-on experience with IEC CIM (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 (WAMS, WACS, MSCS)
• Experience supporting utility data lakes or analytics platforms (AWS, 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.
• Excellent communication skills
• Ability to work independently and/or with a team
Benefits
PEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan. PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future. Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws.
Equal Opportunity Employer (EEO)
PEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply.
Candidate Privacy
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://peaktechnical.com/privacy-policy/ and https://peaktechnical.com/ca-residents-privacy-rights/
AI Recruiting Disclosure
We use AI-assisted tools to help review applications and compare your experience to job requirements, but all hiring decisions are made by human recruiters. You may request a human-only process or opt out of automated communication at any time. Required notices and our latest bias audit are available on our website: www.peaktechnical.com/ai-disclosure.
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Client is seeking a Data Modeler who is motivated by variety, is seeking a challenging environment for professional growth, and is interested in running large information technology projects in various customer businesses areas at large Utility client headquartered in the Seattle area.
We are seeking an experienced Data Modeler who plays a critical role in establishing and sustaining a trusted, interoperable data foundation across the utility enterprise. This position is responsible for translating complex electric-utility business concepts into consistent, standards-based data models using the IEC Common Information Model (CIM) as the authoritative semantic framework.
core responsibility of the role is maintaining alignment between abstract CIM standards and real-world utility implementations. This includes evaluating CIM gaps, managing extensions, guiding proper profile usage, and ensuring that physical and logical data models remain traceable back to CIM concepts. Data Modeler also plays a key role in supporting data governance, acting as a steward of semantic integrity, definitions, and modeling best practices.
Location: This position is remote. Client is located in the Seattle area. Must be willing to work in the PST hours.
Responsibilities :
• Develop and maintain CIM-based logical and physical data models aligned to IEC standards (61970, 61968, 62325).
• Create and manage CIM Profiles (UML, RDF/XML, JSON-LD) tailored to utility use cases.
• Interpret and apply CIM extensions for utility-specific requirements (distribution, transmission, DER, markets).
• Ensure semantic consistency across systems using CIM as the canonical data model.
• Support system-to-system integration designs
• Map source-system schemas to CIM classes, attributes, and relationships.
• Enable analytics and AI use cases by aligning operational and business data into analytics-ready models.
• 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.
• ssist with data-quality rule definition and semantic validation.
• Review backlog items and modeling requests supporting data lake ingestion and integration
• Collaborate with data engineers and system SMEs to understand source-system data
• Map source-system data to CIM classes, attributes, and relationships
• Define and maintain CIM profiles used by the data lake
• Validate transformation logic against CIM semantic intent
• Support architecture and integration design discussions
• Ensure curated data models are analytics-ready and consistent
• 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 Education & Experience:
• Bachelor's degree in Computer Science, Information Systems, Engineering, or related field.
• 10+ years Hands-on experience with IEC CIM (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 (WAMS, WACS, MSCS)
• Experience supporting utility data lakes or analytics platforms (AWS, 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.
• Excellent communication skills
• Ability to work independently and/or with a team
Benefits
PEAK's benefit offerings available for our associates include medical, dental, vision, Flexible Spending Account (FSA), Dependent Care Savings Account (DCA), and 401K plan. PEAK believes that taking care of our team is essential for success and we are proud to provide benefits that enhance both your well-being and your future. Additionally, our associates may be eligible for Paid Sick Leave as required by Federal, State, or local laws.
Equal Opportunity Employer (EEO)
PEAK Technical Staffing is committed to creating a diverse and inclusive environment and is proud to be an Equal Opportunity Employer. PEAK does not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, or veteran status, or any other characteristic protected by applicable law. All employment decisions are made based on qualifications, merit, and business need. We encourage all individuals to apply.
Candidate Privacy
To read our Candidate Privacy Information Statement, which explains how we will use your information, please navigate to https://peaktechnical.com/privacy-policy/ and https://peaktechnical.com/ca-residents-privacy-rights/
AI Recruiting Disclosure
We use AI-assisted tools to help review applications and compare your experience to job requirements, but all hiring decisions are made by human recruiters. You may request a human-only process or opt out of automated communication at any time. Required notices and our latest bias audit are available on our website: www.peaktechnical.com/ai-disclosure.
Apply tot his job
Apply To this Job