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Data Modelling Architect
Optima Partners. Support a 6-month contract engagement as a Data Architect .
Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in enterprise data architecture, including the ability to define and implement data models and strategies that align with business outcomes. Proficient in data governance, compliance, and communication of complex data concepts to diverse stakeholders.
Highest-signal resume keywords
Enterprise Data ArchitectureData ModellingData GovernanceData Migration StrategyActive SC Clearance
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Conceptual Data ModellingLogical Data ModellingPhysical Data ModellingCanonical Data ModelsDomain Data ModelsShared Data ModelsReference Data ModelsAnalytical Data ModelsData QualityMetadata Management
Soft Skills
CommunicationStakeholder EngagementIndependent Work
Tools & Technologies
DatabricksMicrosoft FabricSpark-based Ecosystems
Certifications & Qualifications
Active SC Clearance
Industry Keywords
Financial ServicesInsuranceEnergyTelecomsRegulatory Compliance
Tech Stack
Tools & technologiesCloudSpark
About the role
Key responsibilities & impact- Support a 6-month contract engagement as a Data Architect
- Shape trusted enterprise data models, strategy, and governance
- Define conceptual, logical, and physical data models
- Define canonical, domain, shared, reference, and analytical data models
- Shape data strategy and translate it into practical roadmaps aligned to business outcomes
- Support data migration strategy, including source-to-target mapping, reconciliation, and phased cutover approaches
- Design data architectures for regulatory, security, and compliance requirements
- Work with technical and non-technical stakeholders to communicate complex data concepts
- Deliver practical outcomes for regulated organisations across financial services, insurance, energy, and telecoms
Requirements
What you’ll need- Strong background in enterprise data architecture, information architecture, and data domain modelling
- Experience across conceptual, logical, and physical data modelling
- Ability to define canonical, domain, shared, reference, and analytical data models
- Good understanding of data governance, data quality, metadata, lineage, traceability, and auditability
- Experience shaping data strategy and translating it into practical roadmaps aligned to business outcomes
- Knowledge of data migration strategy, including source-to-target mapping, reconciliation, and phased cutover approaches
- Experience defining enterprise data architecture principles, standards, models, and architecture repositories
- Understanding of data ownership, stewardship, and federated operating models
- Experience designing data architectures for regulatory, security, and compliance requirements
- Awareness of modern cloud data platforms such as Databricks, Microsoft Fabric, and Spark-based ecosystems
- Ability to communicate complex data concepts to technical and non-technical stakeholders
- Comfortable working independently in complex, regulated environments
- Active SC clearance required
Benefits
Comp & perks- 6-month contract engagement
- Hybrid working arrangement