Data Architect

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Base pay range

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As a Data Architect, you will play a critical role in shaping enterprise-wide data solutions and ensuring effective data management across the entire lifecycle - from capture to consumption. You will collaborate with IT teams, project managers, and business stakeholders to define solution architectures aligned with the enterprise data strategy.

You will help define and promote architectural standards that support scalable, secure, and integrated data platforms across the organisation.

Key Responsibilities

• Define solution architectures for data warehouse, master/reference data management, and integration.
• Contribute to the development of a Reference Data Architecture and related artefacts.
• Support the standardisation of enterprise data management processes and documentation.
• Collaborate with business and IT stakeholders to maximise data value across systems and domains.
• Define and help implement data asset inventory and classification processes.
• Contribute to the assessment and documentation of the existing enterprise data landscape.
• Provide architectural guidance on Master Data Management (MDM), metadata, and data governance initiatives.
• Design and assess data flow processes, dependencies, and integration points.
• Lead architectural input to feasibility studies, PoCs, and system pilots for modern data platforms.
• Ensure data architecture supports security, scalability, and future technology evolution.
• Collaborate with business process owners to capture data requirements.
• Support the design and oversight of the data infrastructure and technical environments.
• Ensure architecture compliance, documentation standards, and technical integrity.

Skills & Experience

• Expertise in dimensional modelling and strong understanding of Third Normal Form data models.
• Demonstrated experience across conceptual, logical, and physical data architectures.
• Familiarity with data integration, ETL, and data transformation patterns.
• Hands-on experience with metadata architecture and master data management frameworks.
• Solid understanding of data governance, lineage, and stewardship concepts.
• Experience working with cloud data platforms and contributing to cloud data strategies.
• Knowledge of enterprise system data models (e.g. ERP, CRM, or HR platforms such as SAP or Salesforce).
• Ability to communicate complex data concepts to technical and business audiences alike.
• Strong stakeholder engagement, documentation, and presentation skills.
• Ability to anticipate issues, lead resolution, and drive proactive improvement.
• Experience with Microsoft Azure data technologies such as:
• Exposure to SAP BI & data platforms such as:
• HANA, SAP IQ, Business Objects, SAP Analytics Cloud, SAP Data Intelligence
• Familiarity with enterprise reporting tools (e.g. SSRS) and modern BI toolsets.

Seniority level

• Seniority levelMid-Senior level

Employment type

• Employment typeFull-time

Job function

• Job functionInformation Technology
• IndustriesLegal Services

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• Expertise in dimensional modelling and strong understanding of Third Normal Form data models.
• Demonstrated experience across conceptual, logical, and physical data architectures.
• Familiarity with data integration, ETL, and data transformation patterns.
• Hands-on experience with metadata architecture and master data management frameworks.
• Solid understanding of data governance, lineage, and stewardship concepts.
• Experience working with cloud data platforms and contributing to cloud data strategies.
• Knowledge of enterprise system data models (e.g. ERP, CRM, or HR platforms such as SAP or Salesforce).
• Ability to communicate complex data concepts to technical and business audiences alike.
• Strong stakeholder engagement, documentation, and presentation skills.
• Ability to anticipate issues, lead resolution, and drive proactive improvement.
• Experience with Microsoft Azure data technologies such as:
• Exposure to SAP BI & data platforms such as:
• HANA, SAP IQ, Business Objects, SAP Analytics Cloud, SAP Data Intelligence
• Familiarity with enterprise reporting tools (e.g. SSRS) and modern BI toolsets.