Enterprise Data Architect

We are looking for an experienced Enterprise Data Architect to provide senior-level architectural leadership for enterprise data platform initiatives, particularly within financial, regulatory, public-sector, and mission-critical environments. The ideal candidate should possess strong hands-on experience in designing enterprise-scale data architectures, data integration platforms, governance frameworks, analytics environments, and hybrid cloud solutions. This is a part-time senior consulting role. The selected candidate must be available to attend client meetings, technical discussions, presentations, demonstrations, clarification meetings, and other engagements on behalf of the company when required.

Responsibilities

• Design and define enterprise-grade data architectures covering data ingestion, storage, transformation, integration, analytics, reporting, governance, and AI/ML requirements.
• Design cloud, on-premises, and hybrid data platforms, including Data Warehouse, Data Lake, and Data Lakehouse architectures.
• Define data integration approaches using ETL/ELT, APIs, batch, incremental, and real-time processing.
• Establish architecture standards for data governance, metadata management, data quality, lineage, security, access control, and lifecycle management.
• Prepare and review solution architecture diagrams, technical proposals, technology stacks, tender/RFP/EOI responses, and implementation approaches.
• Provide architectural guidance to engineering, DevOps, security, analytics, and project teams throughout implementation.
• Attend client meetings, technical discussions, presentations, demonstrations, clarification sessions, and workshops on behalf of the company when required.
• Represent the company professionally and explain, justify, and defend proposed technical architectures to clients and stakeholders.

What we expect

• What we expect.Bachelor’s Degree in Computer Science, Software Engineering, Information Technology, Data Engineering, or a related field.
• 7+ years of relevant experience, including strong experience in Enterprise Data Architecture, Data Architecture, or Solution Architecture.
• Proven experience designing or implementing at least one enterprise-scale data platform or enterprise data solution.
• Strong knowledge of Data Warehouses, Data Lakes/Lakehouses, ETL/ELT, data pipelines, integration, data modelling, and analytics platforms.
• Strong understanding of data governance, metadata, lineage, data quality, security, RBAC, encryption, and audit requirements.
• Experience with at least one major cloud platform such as Microsoft Azure, AWS, or Google Cloud.
• Excellent communication and presentation skills, with the ability to independently represent the company during client and technical meetings.
• Mandatory availability to attend in-person and online meetings when required, despite the role being part-time.
• Must be willing to provide a professional CV and project experience for inclusion in tenders, EOIs, RFPs, and client proposals.
• Experience in banking, financial services, regulatory, government, or other mission-critical environments will be a strong advantage.
• If you’re eager to advance your career and become a valued member of a prominent company, this is an opportunity you won’t want to miss!