Data Platform Technology Architect
JobGrid listing details
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- Key details
- 1 location, On-site
- Current openings
- 17 active jobs
- Original language
- English
- Source and freshness
- Collected from public career pages and reviewed through JobGrid.eu source availability checks. Last verified: May 14, 2026.
- Apply path
- JobGrid.eu sends candidates to the original application page and adds non-personal referral parameters.
The Data Platform Technology Architect leads the architecture, design, and evolution of the government's core data platforms — ensuring scalable, secure, and interoperable solutions. You will enable seamless data exchange and integration across government entities and oversee data ingestion, storage, APIs, master data management, and advanced analytics capabilities, all in alignment with Government-Wide strategy and policy.
• Define and own the end-to-end architecture for core data platforms — ensuring scalability, performance, and security.
• Advise on technology selection, solution architecture, and platform harmonization for optimal, future-proof, cost-effective deployments aligned to Government-Wide data strategy.
• Lead architecture and oversight of a complex ecosystem of data platforms — ensuring interoperability, consistency, and alignment across multiple vendors and technologies.
• Design and govern the data sharing platform, enabling secure, standardized data flows across entities.
• Oversee implementation and evolution of platform components for sharing, provisioning, and performance measurement.
• Guide design and implementation of entity-level data solutions: ingestion, storage (lakes/warehouses), catalogues, master data management, integration layers, and analytics.
• Ensure interoperability across entities through standardized data exchange, APIs, and integration patterns.
• Oversee platform lifecycle management — setup, operations, upgrades, migrations, and decommissioning of legacy platforms.
• Engage stakeholders to align the platform roadmap with strategic priorities and evolving data use cases.
• Collaborate with engineering teams and vendors to ensure high-quality platform delivery and deployment.
• Drive platform adoption and value realization through enablement and use case activation.