Sr. Associate, Utility Data Modeler
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Key skills for this role
About the Role
TAQA Distribution is seeking a Sr. Associate, Utility Data Modeler to design and maintain utility domain data models within the data platform. The role involves building data structures for analytics and AI, collaborating with teams, and ensuring data quality.
Key Skills for This Role
Responsibilities
- Design, develop, and maintain logical and physical data models for TAQA's utility operational data domains
- Build and maintain dimensional models, data vault structures, and semantic layer definitions within TAQA's data platform
- Collaborate with business analysts, data engineers, and analytics teams to understand reporting and analytical requirements
- Document data models, data dictionaries, entity relationship diagrams, and data lineage maps
- Participate in data quality monitoring for modelled data domains
- Validate data model outputs against source systems and business rules
- Apply AI powered data modeling tools and automated schema documentation platforms
Requirements
- Bachelor’s degree in Information Technology or equivalent
- 3 years of relevant working experience
Full Job Posting
Job Summary
- To design and maintain TAQA Distribution's utility domain data models within the data platform, ensuring that operational and business data from TAQA's utility systems is accurately structured, well documented, and optimised for analytical and reporting consumption.
General Responsibilities
- Ensure compliance of organization’s policy, systems, processes, procedures, and controls.
- Ensure all reports are completed timely and comply with business policies and standards.
- Manage preparation of periodical management reports and progress reports.
Job Specific Responsibilities
- Design, develop, and maintain logical and physical data models for TAQA's utility operational data domains.
- Build and maintain dimensional models, data vault structures, and semantic layer definitions within TAQA's data platform.
- Collaborate with business analysts, data engineers, and analytics teams to understand reporting and analytical requirements.
- Document data models, data dictionaries, entity relationship diagrams, and data lineage maps.
- Participate in data quality monitoring for modelled data domains.
- Validate data model outputs against source systems and business rules.
- Apply AI powered data modeling tools and automated schema documentation platforms.
HSE, Security, and Risk Protocols
- Adhere to all HSE, Security and Risk Management Rules & Procedures.
- Take reasonable care of own health, safety, and security.
- Report any situation that could present a risk, hazard, or issue.
- Report all HSE and security incidents and work related injuries.
Technical Competencies
- Utility Domain Data Modelling (EAM, Metering, GIS, SCADA, FSM, Customer Data)
- Dimensional Modelling & Data Vault Design
- Semantic Layer Development (dbt, LookML, Power BI datasets)
- Data Dictionary & Data Lineage Documentation
- Data Quality Monitoring at the Model Layer
- AI & Data Modelling Tool Proficiency
Strategic & Business Competencies
- Utility Industry Data Domain Knowledge
- Analytics & Reporting Requirements Understanding
- Data Governance & Metadata Management Awareness
- Continuous Improvement & Documentation Quality
Essential Requirements
- Bachelor’s degree in Information Technology or equivalent
- 3 years of relevant working experience
Desired Requirements
- Master’s degree in Information Technology or equivalent
- 6 years of relevant working experience
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