Data Architect
Há 4 dias
Role Overview: The Data Architect is responsible for designing and overseeing the data models within a specific business domain.
This role plays a critical part in contributing to the target Enterprise Architecture by designing the data layer in alignment with business goals and digital strategies.
The Data Architect ensures that the domain's data is compliant with enterprise data management standards, supports platform needs, and drives the adoption of a data mesh approach across the organization.
The role also focuses on reducing data debt and delivering high-quality, well-understood data assets.
Deliverables: Deliver well-defined conceptual, logical, and physical data models for the domain, ensuring they align with both business requirements and the broader enterprise architecture Deliver a clear roadmap for data adoption and compliance with the ADEO Data Catalog.
Ensure the delivery of understood and reusable data assets to the platform that support digital product teams Technical skills Data Architecture & Modeling - Competent - Required Conceptual Model & Roadmap Development - Competent - Required data modeling tools - Competent - Important BigQuery - Competent - Important Language proficiency English Professional (Required) French Professional (Desired) Project description Key Responsibilities: Design Domain Data Models: Develop and maintain conceptual, logical, and physical data models within the assigned domain, aligning them with the organization's broader enterprise architecture strategy.
Ensure data models are designed for scalability, efficiency, and flexibility.
Collaborate with the Enterprise Architecture team to align the data architecture within the domain to the overall enterprise architecture.
Ensure that the data design supports business goals, digital transformation, and organizational agility.
Partner with business stakeholders and digital teams to define the conceptual data model for the domain.
Develop data adoption trajectories and roadmap for successful implementation and alignment with enterprise standards.
Assist digital product teams in reducing data debt by improving data management practices.
Ensure that data assets are optimized, well-documented, and understood by all relevant teams.
Support the domain in delivering high-quality, well-understood, and reusable data assets to the enterprise platform, ensuring their alignment with platform needs and organizational objectives.
Actively participate in the evolution of data architecture principles and frameworks within the organization.
Contribute to best practices and thought leadership around data management, data mesh adoption, and related strategies.
Tools & Technologies: Collibra: For data governance, quality, and cataloging.
Google Cloud Platform (GCP): Expertise in BigQuery, DataFlow, Pub/Sub, etc.
Data Mesh: Applied understanding of decentralized data ownership models.
Data Modeling Tools: Experience with tools like ER/Studio, ERwin, or similar.
Profile code PT-1.01.2 - PT-Information systems planner-I Profile definition Intermediate Level
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