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Job Description & How to Apply Below
Responsibilities
- 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 to ensure optimal, future‑proof, and cost‑effective deployments in alignment with Government‑wide data strategy and policies.
- Lead architecture and oversight of a complex ecosystem of data platforms ensuring interoperability, consistency, and alignment across multiple vendors and technologies.
- Design and govern a data sharing platform enabling secure, standardized data flows across entities.
- Oversee implementation and evolution of platform components for data sharing, provisioning, and performance measurement.
- Guide the design and implementation of entity‑level data solutions including data ingestion, storage (e.g. data lakes, warehouses, catalogues), master data management, integration layers, and analytics capabilities.
- Ensure interoperability across government entities through standardized data exchange APIs and integration patterns.
- Oversee platform lifecycle management including setup, operations, upgrades, migrations, and decommissioning of legacy platforms.
- Engage stakeholders to align 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.
- Bachelor's or Master's degree in Computer Science, Data Engineering, or a related field.
- 20+ years of experience in technology architecture, including designing and deploying large‑scale data platforms in multinational or multi‑entity environments (preferably in Europe or North America).
- Proven experience in architecting and implementing cloud‑based data platforms, data marketplaces, and integration ecosystems across entities.
- Strong expertise in modern data platforms and technologies such as Azure, Databricks, Snowflake, Informatica, Purview, Palantir, or similar.
- Demonstrated ability to assess, select, and harmonize technologies across diverse vendors.
- Experience working in government or large‑scale enterprise ecosystems preferred.
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