Data Architect Lisboa

Data Architect
Lisboa
Lisboa, Lisboa, Portugal

Role Overview:

The data architect is responsible for designing and overseeing the data models in a specific business domain. This role plays a key role in contributing to the target business architecture, designing the data layer in line with business objectives and digital strategies.

The data architect ensures that the domain data complies with enterprise data management standards, supports the needs of the platform and promotes the adoption of a data fabric approach throughout the organization.

The role is focused on mapping business processes, where good communication with the different business areas is sought, and where the design and conceptual mapping of the business will be sought.

Deliverables:

• Deliver
  - 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.
• 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
• Big
  Query - Competent - Important or Similar
• English Professional (Required)

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,
  - documented, and understood by all relevant teams.
• Support the domain in delivering
  - quality,
  - 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 Big
  Query, Data
  Flow, Pub/Sub, etc.
• Data Mesh: Applied understanding of decentralized data ownership models.
• Data Modeling Tools: Experience with tools like ER/Studio, ERwin, or similar.