Design end-to-end data ecosystem architectures on Google Cloud (Data Lake, Data Warehouse, and Lakehouse);
Define ingestion, processing, and consumption patterns and frameworks to be used by engineering teams;
Ensure Governance and Security by establishing IAM policies, encryption, data lineage, and compliance (LGPD);
Optimize costs and performance (FinOps), monitoring resource usage such as BigQuery, Cloud Run, and Dataproc;
Lead technical decision-making in the selection of tools and technology stack components;
Serve as a bridge between Business and Technology, ensuring data solutions support the client's strategic objectives;
Provide technical mentorship to engineers and analysts, raising the team's maturity in cloud best practices.

Solid experience as a Data Architect, with a focus on Google Cloud-native solutions (GCP);
Deep expertise in BigQuery (query optimization, partitioning, clustering, and storage architecture);
Experience with complex orchestration using Airflow (Cloud Composer) and integration with transformation tools such as dbt;
Knowledge of Data Modeling (Star Schema, Snowflake, Data Vault 2.0) and modern architectures (Data Mesh or Data Fabric);
Experience with Infrastructure as Code (IaC), preferably Terraform, for deploying GCP resources;
Experience with CI/CD applied to data and environment management (Dev/Staging/Prod);
Consultative communication skills, able to present technical solutions to non-technical stakeholders;
Desired: GCP certifications (Professional Data Engineer or Professional Cloud Architect).

Data Architect – Specialist

Key skills