Data Architect Lisboa

Data Architect
Lisboa
Lisboa, Lisboa, Portugal

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
- quality,
- understood data assets.

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.
• Data Mesh: Applied understanding of decentralized data ownership models.
• Data Modeling Tools: Experience with tools like ER/Studio, ERwin, or similar.

Minimum Qualifications:

• Technical skills in data modeling tools - Competent - Important
• Experience with Big
  Query - Competent - Important
• English Professional (Required)
• French Professional (Desired)

Seniority level

Mid-Senior level

Employment type

Full-time

Job function

Information Technology

Industries

Software Development