Data Architect

The Data Architect is responsible for designing, governing, and evolving the organization's data ecosystem, ensuring that data from business applications is integrated, structured, and made available for analytics, reporting, and strategic decision making. This role provides technical leadership across data integration, data warehousing, and BI platforms, ensuring data is accurate, secure, and optimised for performance. Working closely with business stakeholders, solution architects, and development teams, the Data Architect shapes the organization's data strategy and drives best practice data management.

• Define and maintain the enterprise data architecture, including data models, integration patterns, and data flows across business systems.
• Develop and evolve the organization's data warehousing and BI strategy, ensuring alignment with business needs and long term scalability.
• Ensure solutions align with enterprise architecture principles, security standards, and regulatory requirements.
• Establish standards for data modelling, metadata, master data, and data governance.
• Collaborate with stakeholders to define functional and non functional requirements, understanding stakeholder pain points and strategic priorities.
• Translate business needs into clear technical designs and solution options.
• Act as a trusted advisor to senior stakeholders, providing guidance on feasibility, risks, and trade offs.

• Design and oversee data integration solutions using APIs, ETL/ELT pipelines, middleware, and modern integration platforms.
• Ensure data from business applications (ERP, CRM, HR, etc.) is ingested reliably, consistently, and securely.
• Optimise data pipelines for performance, resilience, and maintainability.

• Architect and maintain enterprise data warehouses, data marts, and analytical data stores.
• Define logical and physical data models that support reporting, analytics, and self service BI.
• Ensure data structures support both operational and strategic reporting needs.

• Partner with BI developers and analysts to design semantic models, datasets, and reporting structures.
• Ensure BI platforms (e.g., Power BI, Tableau) are fed with high quality, well structured data.
• Promote self service analytics through robust data models, documentation, and governance.

• Implement data quality frameworks, validation rules, and monitoring processes.
• Ensure compliance with data protection, security, and regulatory requirements.
• Maintain documentation, data dictionaries, lineage diagrams, and architectural artefacts.

• Work closely with solution architects to ensure application and data architectures are aligned.
• Advise business stakeholders on data feasibility, risks, and opportunities.
• Provide technical leadership to data engineers, BI developers, and integration specialists.
• Contribute to architectural governance forums and change advisory boards.
• Conduct design reviews, risk assessments, and impact analyses.

• Proven experience as a Data Architect, Senior Data Engineer, or similar role in an enterprise environment.
• Strong expertise in data integration technologies (ETL/ELT tools, APIs, iPaaS, event driven architectures).
• Hands on experience with data warehousing platforms with strong understanding of relational and dimensional modelling, star/snowflake schemas, and semantic layers.
• Experience working with BI platforms such as Power BI, Tableau, or Qlik.
• Solid understanding of data governance, data quality, and metadata management.
• Ability to translate complex data concepts into business friendly language.
• Strong stakeholder management and communication skills.
• Experience with Azure data services (e.g., Data Factory, Synapse, Databricks, SQL MI).
• Knowledge of MDM frameworks and data cataloguing tools.
• Understanding of DevOps, CI/CD, and automation for data pipelines.
• Exposure to data security frameworks and regulatory standards.
• Familiarity with DevOps practices, CI/CD pipelines, and automation tooling.

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