Senior Data Architecture Consultant

Inetum2; Lisboa; On-site; EUR 95,000 - 130,000; Full time

Job summary

Inetum2 is seeking an experienced Data Engineer consultant to design and govern end-to-end data architectures across ingestion, processing, storage and consumption. You will define data models for data warehouses, data lakes, and lakehouses, and shape architectures for analytics platforms.

Responsibilities include evaluating technology options, guiding trade-offs, embedding data governance, and ensuring security, performance and cost efficiency.

Qualifications

• Minimum 15 years of professional IT experience in data architecture and complex data solution design.
• Advanced knowledge of relational and NoSQL databases, data modelling, and Big Data tech.
• Experience with Azure, AWS or Google Cloud.
• Strong ability to analyse requirements, trade-offs and make autonomous architectural decisions.
• Fluent in English and Portuguese with strong written and verbal skills.

Responsibilities

• Design scalable, secure end-to-end data architectures aligned with requirements.
• Define models and architectures for Data Warehouses, Lakes, Lakehouses and analytics platforms.
• Develop data integration approaches covering ETL/ELT, batch, streaming, APIs and event patterns.
• Evaluate alternatives, document trade-offs, and guide decisions via ADRs.
• Embed governance, data quality, lineage, metadata and security into architecture.
• Provide governance and technical guidance to architects and engineers.
• Produce architecture documentation and communicate recommendations to stakeholders.

Skills

Data architecture

Data governance

Cloud platforms

SQL & NoSQL

ETL/ELT design

ADR documentation

Architectural leadership

Communications in ENG/PT

Energy & Utilities domain knowledge

Education

Degree in Computer Engineering or Software Engineering

Tools

Azure

AWS

Google Cloud

Job description

Inetum2 is seeking an experienced Data Engineer consultant to design and govern end-to-end data architectures across ingestion, processing, storage and consumption. You will define data models for data warehouses, data lakes, and lakehouses, and shape architectures for analytics platforms.

Responsibilities include evaluating technology options, guiding trade-offs, embedding data governance, and ensuring security, performance and cost efficiency.