Job Description
job summary:
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.
A 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.
- Assist 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
location: Telecommute
job type: Contract
salary: $60 - 62 per hour
work hours: 8am to 5pm
education: Bachelors
responsibilities: 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.
A 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.
- Assist 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
qualifications: 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
Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.
At Randstad Digital, we welcome people of all abilities and want to ensure that our hiring and interview process meets the needs of all applicants. If you require a reasonable accommodation to make your application or interview experience a great one, please contact [email protected].
Pay offered to a successful candidate will be based on several factors including the candidate's education, work experience, work location, specific job duties, certifications, etc. In addition, Randstad Digital offers a comprehensive benefits package, including: medical, prescription, dental, vision, AD&D, and life insurance offerings, short-term disability, and a 401K plan (all benefits are based on eligibility).
This posting is open for thirty (30) days.
It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability.
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