Enterprise Architect

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Our client is looking for a senior Enterprise Architect to support a strategic transformation initiative linked to the creation of a new federal migration structure and the optimization of data exchange across multiple internal and external systems.

The architect will be responsible for establishing a comprehensive view of the current application landscape, data architecture, and business architecture, while defining a target operating model and target architecture. A key objective is the implementation of a Centralized Data Layer to streamline data exchanges, improve reporting capabilities, and facilitate integration with a broader migration-related digital transformation program.

The assignment requires strong expertise in Enterprise Architecture , Data & Services Architecture , Business Architecture , application portfolio analysis, data governance, and stakeholder management within complex public-sector environments.

Your missions:

• Define and establish the organization's Business Architecture framework.
• Create a complete inventory of applications built on Microsoft technologies and other connected systems.
• Analyze and document the current (AS-IS ) and future (TO-BE ) application landscape.
• Map all internal and external data flows across the organization.
• Identify relationships and integrations between business applications, databases, and external stakeholders.
• Design and recommend a centralized data architecture to support efficient data exchange.
• Optimize data integration and reporting capabilities through a Centralized Data Layer.
• Support alignment between business needs, application architecture, and data architecture.
• Contribute to architectural alignment with a broader migration and digital transformation program.
• Review existing architecture documentation and define an improvement roadmap.
• Identify architectural synergies, gaps, risks, and optimization opportunities.
• Collaborate with internal technical leads, data teams, software architects, and external architecture stakeholders.

Business Architecture

Your activities:

• Establish business architecture practices and governance.
• Act as the bridge between business stakeholders and technical architecture teams.
• Ensure alignment between strategic objectives, business processes, applications, and data structures.
• Support tactical and strategic decision-making.

Application Architecture

• Inventory all existing applications and platforms.
• Analyze the current application ecosystem (AS-IS).
• Define the future-state application architecture (TO-BE).
• Assess dependencies and interactions between systems.
• Evaluate modernization and consolidation opportunities.

Data Architecture

• Map existing data flows, interfaces, and integrations.
• Document relationships between applications and data repositories.
• Analyze internal and external data exchanges.
• Design optimization scenarios through a Centralized Data Layer.
• Leverage and integrate existing components such as:
  • Azure Data Warehouse
  • Power BI
• Ensure consistency with software architecture and data analytics teams.

Documentation & Governance

• Assess the quality and completeness of existing architectural documentation.
• Define and execute an action plan to improve architectural documentation.
• Produce architecture deliverables, models, diagrams, and governance artifacts.

Transformation & Integration

• Analyze opportunities for interoperability and architectural convergence.
• Identify gaps and optimization opportunities across programs and initiatives.
• Support data harmonization and simplification of information flows.
• Contribute to the definition of a common target architecture across multiple organizations and programs.

You have the following skills:

• Enterprise Architecture expertise.
• Design and implementation of target architecture frameworks.
• Business Architecture methodology.
• Application Landscape Management.
• Enterprise-wide transformation initiatives.
• Architecture governance and best practices.

Data & Services Architecture

• Data Architecture (Expert level).
• Data Flow Mapping and Analysis.
• Data Integration and Interoperability.
• Centralized Data Layer design.
• Data Warehouse architecture.
• Service-oriente