Senior Data Architecture Consultant

Inetum Portugal; Lisboa; On-site; EUR 90,000 - 125,000; Full time

Job summary

Inetum Portugal is seeking an experienced Data Engineer consultant to design and govern complex, end-to-end data architectures. You will oversee ingestion, processing, storage, governance and consumption, guiding technical decisions across teams.

You will work with stakeholders to define data models for Data Warehouses, Data Lakes and Lakehouses, implement scalable patterns, and ensure security, GDPR compliance and cost efficiency.

Qualifications

• 15+ years IT experience with data architecture and complex data design.
• Degree in Computer or Software Engineering.
• Experience with relational and NoSQL databases and data warehouses.
• Cloud experience: Azure, AWS or Google Cloud.
• Strong data governance, security, GDPR knowledge.
• Leadership and ability to influence across teams.

Responsibilities

• Design scalable end-to-end data architectures.
• Define data models for Data Warehouse, Data Lake, Lakehouse.
• Design ETL/ELT, batch, streaming, CDC and APIs.
• Evaluate alternatives and document ADRs.
• Define reference architectures and standards.
• Embed governance, data quality, lineage, metadata management.
• Ensure performance, scalability, observability, cost optimisation.
• Provide architecture governance and guidance to teams.
• Document architecture and communicate to stakeholders.

Skills

Data Architecture

Solution Architecture

Data Governance

Cloud Platforms

Data Modelling

ADR Documentation

Leadership

Stakeholder Communication

Education

Degree in Computer Engineering or Software Engineering

Tools

Azure

AWS

Google Cloud

JIRA

Confluence

Job description

Inetum Portugal is seeking an experienced Data Engineer consultant to design and govern complex, end-to-end data architectures. You will oversee ingestion, processing, storage, governance and consumption, guiding technical decisions across teams.

You will work with stakeholders to define data models for Data Warehouses, Data Lakes and Lakehouses, implement scalable patterns, and ensure security, GDPR compliance and cost efficiency.