Data Architect

Us3 Ltd; Lisboa; Híbrido; EUR 70 000 - 110 000; Tempo integral

Resumo da oferta

Us3 Ltd is seeking an experienced Data Architect to design and deliver scalable, cloud-native data platforms with Databricks at the core. This role requires hands-on architecture, governance, and implementation leadership across enterprise data platforms.

The candidate will design end-to-end pipelines, define lakehouse architectures, and drive data modelling, governance, and security practices while collaborating with data engineers and business stakeholders.

Qualificações

• 6+ years of experience with Databricks.
• 6+ years of experience designing enterprise-scale data platforms.
• Experience building Lakehouse architectures with Databricks.
• Strong knowledge of Apache Spark, Delta Lake, and Databricks Workflows.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Expertise in SQL and Python for data engineering and architecture.
• Experience with ETL/ELT design, data integration, and pipeline orchestration.
• Strong understanding of data governance, metadata management, and security frameworks.

Responsabilidades

• Design and architect end-to-end data platforms using Databricks and cloud-native technologies.
• Define scalable data architecture, including data lakes, lakehouses, and modern analytics platforms.
• Lead the design of batch and real-time data ingestion, transformation, and orchestration pipelines.
• Establish data modelling standards (conceptual, logical, and physical) to support analytics and operational use cases.
• Collaborate with data engineers, analytics teams, and business stakeholders to translate requirements into technical solutions.
• Implement data governance, security, lineage, and quality best practices.
• Optimize platform performance, scalability, reliability, and cost efficiency.
• Provide architectural guidance and technical leadership across data engineering initiatives.

Conhecimentos

Databricks

Lakehouse design

Apache Spark

Delta Lake

Databricks Workflows

Cloud platforms

SQL

Python

ETL/ELT design

Data governance

Metadata management

Security frameworks

Ferramentas

Databricks

Azure

AWS

Google Cloud Platform

Python

Descrição da oferta de emprego

We are looking for an experienced Data Architect to design and deliver scalable, cloud-native data platforms with Databricks as a core technology. This role is ideal for someone who has hands-on experience architecting modern data solutions and can drive the design, governance, and implementation of enterprise data platforms.

Must be able to work - 3 days/week in Lisbon

About the Role

This role is ideal for someone who has hands-on experience architecting modern data solutions and can drive the design, governance, and implementation of enterprise data platforms.

Responsibilities

• Design and architect end-to-end data platforms using Databricks and cloud-native technologies.
• Define scalable data architecture, including data lakes, lakehouses, and modern analytics platforms.
• Lead the design of batch and real-time data ingestion, transformation, and orchestration pipelines.
• Establish data modelling standards (conceptual, logical, and physical) to support analytics and operational use cases.
• Collaborate with data engineers, analytics teams, and business stakeholders to translate requirements into technical solutions.
• Implement data governance, security, lineage, and quality best practices.
• Optimize platform performance, scalability, reliability, and cost efficiency.
• Provide architectural guidance and technical leadership across data engineering initiatives.

Required Skills

• 6+ years of experience with Databricks (must-have).
• 6+ years of experience as a Data Architect designing enterprise-scale data platforms.
• Experience building and managing Lakehouse architectures using Databricks.
• Strong knowledge of Apache Spark, Delta Lake, and Databricks Workflows.
• Experience with cloud platforms such as Azure, AWS, or Google Cloud Platform.
• Expertise in SQL and Python for data engineering and architecture.
• Experience with ETL/ELT design, data integration, and pipeline orchestration.
• Strong understanding of data governance, metadata management, and security frameworks.

If this sounds relevant, we'd love for you to apply.