DATA ARCHITECT / RGPD (HYBRID)

iTRTech Group; Lisboa; Híbrido; EUR 30 000 - 33 000; Tempo integral

Resumo da oferta

iTRTech Group is seeking a Senior Data Architect to lead governance and data quality initiatives across large data platforms in a hybrid Lisbon or Porto setup.

The role combines strategy with hands-on implementation on Microsoft Fabric, Databricks, and cloud ecosystems, engaging stakeholders across business and technology to drive adoption and measurable improvements in data governance, quality, and compliance.

Qualificações

• Strong knowledge of Data Governance and Data Quality practices, frameworks, and processes.
• Experience with Data Ownership and Data Stewardship.
• Experience developing Business Glossaries and Data Catalogues.
• Experience with Data Lineage and Data Quality processes.
• Hands-on knowledge of governance tools.
• Up-to-date understanding of databases and analytical technologies.
• Experience with cloud platforms: Azure, AWS, or Google Cloud.
• Proven experience with Microsoft Fabric and Databricks.
• Ability to define governance standards, solutions, and operating models.
• Fluent Portuguese and English, both written and spoken.

Responsabilidades

• Define, document, and evolve Data Governance and Data Quality frameworks.
• Establish policies, standards, processes, guidelines, and best practices.
• Ensure alignment with the organisation’s data strategy and adoption across teams.
• Define roles, responsibilities, and decision-making processes for data governance.
• Design governance operating models for a large organisation.
• Define Data Quality methodologies, metrics, and KPIs.
• Monitor data quality issues and drive continuous improvement.
• Provide governance guidance across Data Lakes, Lakehouses, and NoSQL.
• Lead strategic initiatives from requirements to adoption and results monitoring.
• Develop training materials and enablement sessions.

Conhecimentos

Data Governance

Data Quality

Stakeholder Engagement

Databricks

Microsoft Fabric

Cloud Platforms

Data Lake / Lakehouse

NoSQL

GDPR / RGPD

Formação académica

Bachelor’s degree in Computer Engineering or related field

Ferramentas

Jira

Confluence

Descrição da oferta de emprego

DATA ARCHITECT / RGPD (HYBRID LISBON OR PORTO)

Portuguese company hires for hybrid position.

Location: Lisbon or Porto, Portugal.

Only candidates already based in Portugal will be considered.

Work Model: Hybrid.

Language Requirements: Fluent Portuguese and English.

Seniority: Senior (5+ years).

Rate Between €2700 - 3000 RV.

The Opportunity

We are looking for a Senior Data Architect to lead strategic Data Governance and Data Quality initiatives within a large, complex organisation.

You will define governance frameworks, operating models, standards, policies, quality controls, and adoption strategies across modern data platforms. The role combines data architecture expertise with stakeholder engagement, organisational transformation, and hands‑on knowledge of Microsoft Fabric, Databricks, cloud ecosystems, and modern analytical architectures.

Key Responsibilities

Data Governance and Data Quality Frameworks

• Define, document, and continuously evolve Data Governance and Data Quality frameworks;
• Establish policies, standards, processes, guidelines, patterns, and implementation best practices;
• Ensure alignment between governance initiatives and the organisation’s broader data strategy;
• Define roles, responsibilities, and decision‑making processes across Data Owners, Data Stewards, technical teams, and business areas;
• Design Data Governance operating models suitable for a large organisation.

Data Quality Strategy

• Define Data Quality methodologies, dimensions, rules, metrics, and KPIs;
• Establish monitoring processes for identifying, tracking, and resolving data‑quality issues;
• Create mechanisms to measure the maturity, adoption, and effectiveness of governance practices;
• Produce reports, analyses, and recommendations for continuous improvement;
• Promote consistent Data Quality controls across different platforms and teams.

Data Management and Architecture

• Define and support Data Ownership and Data Stewardship processes;
• Develop and evolve Business Glossaries and Data Catalogues;
• Establish standards for Data Lineage and metadata management;
• Provide governance guidance across Data Lakes, Lakehouses, NoSQL platforms, and analytical environments;
• Define governance and management approaches for Microsoft Fabric and Databricks;
• Support governance across Azure, AWS, or Google Cloud Platform environments.

Strategic Initiatives and Adoption

• Plan and execute strategic Data Governance and Data Quality initiatives;
• Lead activities from requirements definition and solution design through implementation, adoption, and results monitoring;
• Guide multidisciplinary teams and promote consistent governance practices;
• Develop training materials, guidelines, and enablement sessions;
• Engage technical and business stakeholders to drive alignment and organisational adoption;
• Support strategic transformation programmes involving data, privacy, quality, and operating‑model evolution.

Mandatory Requirements

• Bachelor’s degree in Computer Engineering, Software Engineering, Information Systems, Information Management, or a related field;
• Strong knowledge of Data Governance and Data Quality practices, frameworks, and processes;
• Practical experience with Data Ownership and Data Stewardship;
• Experience developing Business Glossaries and Data Catalogues;
• Experience with Data Lineage and Data Quality processes;
• Hands‑on knowledge of Data Governance or Data Quality tools;
• Up‑to‑date understanding of databases and analytical technologies;
• Knowledge of Data Lake, Lakehouse, and NoSQL architectures;
• Experience with at least one major cloud platform: Azure, AWS, or Google Cloud Platform;
• Proven experience with Microsoft Fabric;
• Proven experience with Databricks;
• Understanding of the governance and data‑management capabilities of Microsoft Fabric and Databricks;
• Ability to define Data Governance standards, solutions, and operating models;
• Experience guiding teams and driving organisational adoption;
• Strong written and verbal communication skills;
• Ability to engage technical and business stakeholders;
• Experience working in multidisciplinary, collaborative, or global teams;
• Strong commitment to delivery quality;
• Fluent written and spoken Portuguese;
• Fluent written and spoken English;
• Availability for hybrid work in Lisbon or Porto.

Highly Valued Experience

• Knowledge of the Energy and Utilities sector;
• Understanding of GDPR and data privacy best practices;
• Experience in strategic or organisational transformation projects;
• Agile methodology experience;
• Experience with Jira and Confluence;
• Written and spoken Spanish;
• Definition of enterprise Data Governance operating models;
• Development of governance maturity models;
• Experience defining Data Quality dashboards, KPIs, and reporting mechanisms;
• Large‑scale governance implementation and adoption programmes.

Ideal Candidate Profile

The ideal candidate is a senior Data Architect or Data Governance professional who can combine strategic vision with practical implementation experience.

You understand how to turn governance principles into effective operating models, standards, ownership structures, catalogues, glossaries, lineage processes, quality controls, and measurable outcomes. You are comfortable working across Microsoft Fabric, Databricks, cloud platforms, Lakehouse architectures, and enterprise data ecosystems.

You communicate clearly, influence stakeholders, and align technical and business teams around shared objectives. You are analytical, autonomous, proactive, and able to lead initiatives in multicultural and distributed environments while maintaining a strong focus on quality and continuous improvement.

Why Consider This Opportunity?

• Lead strategic Data Governance and Data Quality initiatives;
• Shape governance frameworks and operating models for a large organisation;
• Work with Microsoft Fabric, Databricks, cloud platforms, and modern data architectures;
• Influence how data ownership, stewardship, quality, and privacy are managed;
• Collaborate with technical, business, and executive stakeholders;
• Contribute to enterprise‑scale data transformation;
• Benefit from a flexible hybrid model in Lisbon or Porto.

Recommended CV Keywords

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