About the role

Data Cloud Platform Architect at Keyrus, leading design and implementation of high-performance cloud data solutions. Role involves governance, security standards, and hands-on capabilities in AWS and Azure.

Responsibilities

Lead the design, implementation, and optimisation of data architectures primarily on AWS, with exposure to Azure when relevant.
Demonstrate deep expertise in AWS data services such as Lambda, Glue, Step Functions, and Redshift.
Enforce and evolve data governance and security standards, ensuring compliance with corporate and regulatory requirements.
Define and implement Infrastructure as Code (IaC) solutions using Terraform and CloudFormation.
Apply strong Python and SQL skills to prototype data pipelines and establish technical standards.
Design and optimise data models and queries for large-scale datasets (including Iceberg, DuckDB, and PostgreSQL).
Architect and manage ETL processes and data integration into Redshift, PostgreSQL, and other cloud-native stores.
Implement and monitor orchestration workflows using Apache Airflow and AWS Step Functions.
Utilise Athena for interactive queries and S3-based data analytics.
Oversee logging and tracing through AWS CloudTrail, X-Ray, and other monitoring tools to ensure system reliability.
Lead optimisation and migration projects, ensuring operational excellence with minimal disruption.
Provide technical mentorship, guiding engineers and ensuring adherence to best practices.

10+ years of professional experience in data architecture and cloud platforms, with a focus on AWS.
Proven expertise in AWS data services (Lambda, Glue, Step Functions, Redshift) and exposure to Azure ecosystems.
Hands-on experience implementing Infrastructure as Code (IaC) using Terraform and CloudFormation.
Strong Python and SQL programming skills, including prototyping and coding standards definition.
Experience working with Iceberg tables and managing large-scale datasets efficiently.
Solid understanding of data modelling, query optimisation, and data integration patterns.
Experience building and maintaining ETL pipelines and orchestration workflows (Airflow, Step Functions).
Familiarity with Kafka for event streaming and real-time data processing.
Demonstrated success leading data migration, optimisation, and production monitoring projects.
Proven track record of defining and enforcing data governance and security frameworks.
Experience in Azure Databricks for analytics and data engineering is a plus.
Excellent communication, teamwork, and leadership skills, with the ability to mentor and influence technical teams.
Fluent in English. French is a Plus
Must be a Portuguese or European citizen or have a work permit for Portugal.