Data Platform Expert Engineer (AWS) - Full Remote PT

Data Platform Architect (AWS/dbt/Redshift) - Remote Portugal

ABOUT THE OPPORTUNITY

This is a senior architecture role at the heart of a large-scale data platform modernisation programme within a well-established enterprise organisation. You'll be stepping into a high-impact position with real design authority — shaping how data flows, transforms, and gets consumed across the business. If you thrive in environments where architecture decisions actually matter and you want to leave a lasting footprint on a platform built to scale, this is the role for you.

PROJECT & CONTEXT

The organisation is undergoing a significant investment in its AWS-native data platform, moving towards a modern, cloud-first architecture that supports both BI/reporting and advanced analytics workloads. You'll be defining the target-state architecture from the ground up — covering ingestion, transformation, cataloguing, consumption, and platform security — and working directly with engineering teams to make it real. The stack is well-defined, the business is committed, and there's genuine appetite for doing this properly.

WHAT WE'RE LOOKING FOR (Required)

- Proven experience as a Data Platform Architect, Data Architect, or Lead Data Engineer/Architect in enterprise-scale environments

- Strong hands-on AWS architecture experience, with deep knowledge of: Amazon S3, Amazon Redshift, AWS Glue (including Glue Catalog), Amazon Kinesis, IAM, KMS, and CloudWatch

- Strong experience with dbt and SQL-based transformation design, including layering strategies, reusable models, and data quality controls

- Experience designing platforms that serve both BI/reporting (Power BI) and advanced analytics (Python / Amazon Athena)

- Hands-on experience with Apache Airflow or an equivalent enterprise-grade orchestration tool

- Solid understanding of RBAC, enterprise identity integration, and secure data access patterns

- Experience with CI/CD pipelines and DataOps practices applied to cloud data platforms

- Demonstrated ability to design ingestion architectures for heterogeneous enterprise source systems (structured and semi-structured data)

- Strong stakeholder engagement skills and experience operating within design governance frameworks

- Fluency in English (written and spoken) is required

NICE TO HAVE (Preferred)

- Experience with API-based data access layer design

- Familiarity with multi-environment strategies (dev / test / pre-prod / production) in cloud data contexts

- Background in cost visibility and FinOps practices for AWS data workloads

- Experience in regulated or compliance-sensitive industries

- Exposure to data mesh or data product thinking at an architectural level