Participate in defining the reference data architecture, including ingestion, transformation, storage, and consumption patterns on AWS.
Collaborate in establishing standards for data modeling, naming conventions, lineage, data quality, and technical documentation.
Design and implement dbt models and Airflow pipelines supporting analytical workloads on Redshift.
Design and implement data testing and quality strategies using dbt tests and tools such as Elementary Data.
Actively participate in architecture discussions, design reviews, and technical decision-making across the data ecosystem.
Collaborate with engineering teams to ensure consistent adoption of architecture standards and best practices.
Work closely with business and technology stakeholders to align technical decisions in complex organizational environments.

Experience working on production data platforms at scale.
Experience working in banking, financial services, or large enterprises with comparable organizational complexity.
Strong ability to design architectures and propose solutions to complex data problems, not just execute implementations.
Hands-on experience with: dbt, Airflow, Amazon Redshift, Amazon S3 and SQL.
Experience implementing data testing and observability practices (dbt test, Elementary Data, Great Expectations or similar).
Strong communication skills and the ability to collaborate with multiple stakeholders and technical teams.

Cloud Data Architect

Key skills