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Data Modeler
StratPartners International
Abu Dhabi Emirate, UAE
Contract
Mid
Hybrid
1 months ago
Data ModelingSQLData ArchitectureData EngineeringBusiness Analysiserwin
Free
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Data ModelingSQLData Architecture
About the Role
StratPartners International is hiring a Data Modeler for a 6-month contract in Abu Dhabi. The role focuses on logical and conceptual data modeling, data definition, and governance.
Key Skills for This Role
Data ModelingSQLData ArchitectureData EngineeringBusiness Analysiserwin
Responsibilities
- Design and maintain conceptual, logical and physical data models across multiple subject areas
- Define, name and classify individual data elements with precision; capturing data type, format, permissible values, nullability and lineage
- Document clear, unambiguous business definitions for every entity, attribute and relationship in the model
- Identify master data entities and support the design of data ownership and stewardship frameworks
- Ensure data models reflect current business reality and evolve in step with organisational change
- Specify data quality rules at element level: completeness, validity, consistency and uniqueness thresholds
- Profile existing data assets to identify anomalies, gaps and definitional inconsistencies
- Contribute to and maintain the enterprise data dictionary and business glossary
- Participate in data governance forums, providing model level input on standards and naming conventions
- Elicit data requirements through structured workshops, interviews and document analysis
- Translate business concepts and rules into formal data model artefacts entities, attributes, domains and constraints
- Resolve definitional conflicts between business units, producing agreed canonical definitions
Requirements
- 3 6 years’ experience in a data focused role with direct modelling responsibility
- Hands on experience producing logical data models using industry standard notation (e.g. UML, IDEF1X, Barker)
- Proficiency with at least one data modelling tool (e.g. erwin, Enterprise Architect, IBM InfoSphere, dbt docs, or equivalent)
- Strong SQL skills, able to query, profile and validate data at element level
- Demonstrable experience creating and maintaining a data dictionary or business glossary
- Proven ability to facilitate requirements sessions and resolve definitional disagreements across stakeholders
Full Job Posting
About the Company
- Our client is hiring Data Modelers to be based Abu Dhabi.
- The role offers flexible working but the person should be currently based in the UAE.
- The role is on a contract basis for 6 month and can be extended.
About the Role
- We are looking for a Data Modeller who brings intellectual rigour to the craft of understanding, defining and documenting data at the element level.
- This is not a pipeline or integration role.
- The primary focus is the data itself its meaning, structure, provenance, relationships and quality; delivering the logical and conceptual models that underpin trusted data across our clients’ enterprises.
- The successful candidate will sit at the intersection of data architecture, data engineering and business analysis, translating business concepts into precise data definitions and working with technical teams to ensure those definitions are respected in physical implementations.
Responsibilities
- Design and maintain conceptual, logical and physical data models across multiple subject areas
- Define, name and classify individual data elements with precision; capturing data type, format, permissible values, nullability and lineage
- Document clear, unambiguous business definitions for every entity, attribute and relationship in the model
- Identify master data entities and support the design of data ownership and stewardship frameworks
- Ensure data models reflect current business reality and evolve in step with organisational change
- Specify data quality rules at element level: completeness, validity, consistency and uniqueness thresholds
- Profile existing data assets to identify anomalies, gaps and definitional inconsistencies
- Contribute to and maintain the enterprise data dictionary and business glossary
- Participate in data governance forums, providing model level input on standards and naming conventions
- Elicit data requirements through structured workshops, interviews and document analysis
- Translate business concepts and rules into formal data model artefacts entities, attributes, domains and constraints
- Resolve definitional conflicts between business units, producing agreed canonical definitions
Qualifications
- The role requires intermediate capability across three disciplines: Data Architecture, Data Engineering, Data Business analysis.
- Intermediate is defined as independently productive with sound judgement, able to handle typical complexity without supervision.
Required Skills
- Data Architecture Intermediate
- Data Engineering Intermediate
- Data Business analysis Intermediate
What We Expect
- Conceptual & logical modelling (ER, dimensional, data vault awareness). Understanding of normalisation, entity relationships and domain design. Ability to align models to architectural principles and enterprise standards.
- Sufficient technical depth to engage credibly with engineers, such as, SQL fluency, schema design, understanding of storage patterns (relational, columnar, NoSQL). Able to review physical schemas for model compliance. Not required to build pipelines.
- Requirements elicitation, stakeholder facilitation, business rules capture. Comfortable producing data requirement specifications, data dictionaries and business glossary entries. Experience bridging business and technical teams.
Preferred Skills
- Essential: 3 6 years’ experience in a data focussed role with direct modelling responsibility
- Hands on experience producing logical data models using industry standard notation (e.g. UML, IDEF1X, Barker)
- Proficiency with at least one data modelling tool (e.g. erwin, Enterprise Architect, IBM InfoSphere, dbt docs, or equivalent)
- Strong SQL skills, able to query, profile and validate data at element level
- Demonstrable experience creating and maintaining a data dictionary or business glossary
- Proven ability to facilitate requirements sessions and resolve definitional disagreements across stakeholders
- Desirable: Familiarity with data governance frameworks (DAMA DMBOK, DCAM)
- Experience with master data management (MDM) concepts and golden record design
- Exposure to metadata management platforms (Collibra, Alation, Informatica Axon)
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