Eir evo talent are currently seeking applicants for a Data Modelling Lead/Architect.
This is a day rate contractposition located with our client in Dublin 4.
This is a hybrid role requiring 2 days on-siteper week.
Were looking for a Senior Data Architect / Data Modelling Lead who can guide strategic data architecture, consolidate legacy systems into a unified customer model, and define governance frameworks across a newly-established Shared Data Platform.
You'll work alongside Data Engineering, Cloud, Governance and Analytics teamsreporting into senior leadership but owning workstreams independently.
Architecture & Design Provide high-level guidance on department-wide data architecture, strategy, and modelling approaches.
Lead production and review of HLD documentation for internal and external consumption, including Enterprise Architecture, Cloud, Networks/Operations, and Project Teams.
Design conceptual, logical, and physical data models aligned to business requirements and architecture principles (e.g., TOGAF, Zachman).
Support integration of legacy/on-prem and Dataverse data sources into a unified single-customer-model across the organisation.
Governance & Data Strategy Work with the Modernisation Programme Data Governance Group to design and implement governance standards, controls, and operating models for Shared Data Platform assets.
Support compliance with regulatory and security requirements (e.g., GDPR, data access controls, encryption, masking, retention policies).
Produce documentation and guidance to enable Data Engineering teams to implement governance, lineage, metadata, and Silver-Layer Lakehouse structures (Purview preferred).
Collaboration & Delivery Report into Data Team Tech Lead and Manager, while leading assigned workstreams independently to required standards and deadlines.
Conduct workshops with business units, data owners, and SMEs to gather requirements and resolve legacy data models.
Work closely with Data & Analytics teams to enable downstream consumption, reporting, and processing.
Key Deliverables Development of unified customer-centric data models.
Data governance frameworks, policies, metadata and lineage models.
HLDs, ERDs, data flow diagrams, and architectural documentation.
Design and specifications for Lakehouse Silver Layer integration.
Guidance for secure, optimised data ingestion and transformation pipelines.
Required Skills & Experience Technical Expertise Strong proficiency in conceptual, logical, and physical data modelling.
Experience with relational and No SQL database technologies.
Skilled in performance optimisation, indexing, schema design, and query tuning.
Integration of disparate datasets across hybrid cloud/on-prem environments.
Proficiency in metadata, lineage, MDM approaches, and data cataloguing.
Hands-on experience with cloud-based data platforms and analytics services (Azure preferred).
Experience with Purview or equivalent governance/catalogue tools desirable.
Governance & Security Knowledge of data governance best practices, stewardship models, and regulatory compliance.
Experience implementing access controls, encryption, data masking, retention, and audit policies.
Tools & Reporting Experience with Power BI, Tableau, or related BI/visualisation tools.
Knowledge of Lakehouse patterns, Dataverse, and data pipelines.
For more information please apply here or contact Niall Moloney/ niall(dot) Ref: EET7665 Candidates must be eligible to work full time and long term in the location specified or currently hold a valid appropriate long term work Visa to apply.
eir evo talent, eir evo and our clients are equal opportunity employers who seeks to recruit and appoint the best available person for a job regardless of marital / civil partnership status, sex (including pregnancy), age, religion, belief, race, nationality and ethnic or national origin, colour, sexual orientation or disability.
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