Data Cloud Platform Architect

Empowered by our motto, "Making Data Matter", Keyrus stands at the forefront of global consultancy in Data & Analytics, AI & Machine Learning, and Digital Transformation. With a presence in 27 countries across 4 continents, we're on a mission to elevate the impact of data.

We are data experts, guiding our clients through their data journey regardless of their level of maturity in analytics. As an end-to-end partner, we address varied challenges that our clients face, from Advanced Analytics, Cloud, Data Governance, Visualisation to Enterprise Performance Management, from advisory to delivery.

With more than 3200 employees in all corners of the world, Keyrus is dedicated to helping businesses taking advantage of the Data and Digital paradigm to enhance their performance, facilitating, and accelerating their transformation, and generating new drivers of growth, competitiveness, and sustainability.

Job Summary 

Keryus is seeking an experienced Data Cloud Platform Architect to lead the design and implementation of scalable, secure, and high-performance cloud data solutions. This role requires over 10 years of expertise in AWS data services, strong hands-on experience in data engineering, and a proven background in European corporate environments.

Based in Porto, the selected professional will play a key role in shaping cloud data strategies, enforcing governance and security standards, and enabling data-driven decision-making at scale. Exposure to Azure technologies, including Databricks, is a strong advantage.

You will combine technical leadership with hands-on capabilities, ensuring solutions are designed for scalability, performance, and cost efficiency. Your work will influence architectural decisions, tool selection, and implementation best practices across the data ecosystem.

This position is Hybrid in Porto. (3 days/week at the office)

Note: All applications/CV’s must be submitted in English.

Key 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.

Requirements for the role

• 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<