Architect of Scalable Data Foundations | Cloud & Governance

Fyld PT; Lisboa, Porto; Presencial; EUR 65 000 - 95 000; Tempo integral

Resumo da oferta

Fyld is hiring a Data Architect to design and implement modern data architectures across lakes, warehouses and lakehouse solutions. The role emphasizes cloud platforms, governance, and scalable data foundations for informed business decisions.

The ideal candidate will bring strong data modelling expertise, experience with Spark, SQL, Python, and collaboration across Data Engineers, Scientists and Analysts. English fluency is required for cross-team communication.

Qualificações

• Bachelor's or Master's degree in Computer Science, Data Engineering, Information Systems or related fields.
• Proven experience designing and implementing modern data architectures.
• Strong knowledge of data modelling techniques (conceptual, logical and physical).
• Experience with Data Lakes, Data Warehouses and Lakehouse architectures.
• Experience with cloud data platforms such as Azure, AWS and/or Google Cloud Platform.
• Familiarity with modern data technologies such as Microsoft Fabric, Azure Synapse Analytics, Databricks, Snowflake, Redshift or BigQuery.
• Strong understanding of ETL/ELT processes, data integration and distributed data architectures.
• Experience defining data standards, governance principles and architecture best practices.
• Knowledge of SQL, Python and Apache Spark is valued.
• Fluency in English.

Conhecimentos

Data modelling

ETL/ELT

SQL

Python

Apache Spark

Cloud platforms

Data governance

Stakeholder collaboration

Analytical skills

English fluency

Formação académica

Bachelor's or Master's in CS/IS

Ferramentas

Azure Synapse

Databricks

Snowflake

BigQuery

Microsoft Fabric

Descrição da oferta de emprego

Fyld is hiring a Data Architect to design and implement modern data architectures across lakes, warehouses and lakehouse solutions. The role emphasizes cloud platforms, governance, and scalable data foundations for informed business decisions.

The ideal candidate will bring strong data modelling expertise, experience with Spark, SQL, Python, and collaboration across Data Engineers, Scientists and Analysts. English fluency is required for cross-team communication.