Hybrid Data Architect

at YSSY

• Job title: Data Architect
• Job type: Full Time
• Experience level: Mid level, Senior
• Salary: Not specified
• Degree requirement: Bachelor's Degree
• Tech skills: Azure, BigQuery, Cloud, Google Cloud Platform, Python, Spark, SQL, Vault
• Location requirements: Hybrid, Sao Paulo, Brazil

About the role

• Dados Arquitetos projetando soluções na nuvem com foco em arquiteturas híbridas em São Paulo. Trabalhando com Databricks, Azure e GCP.

Responsibilities

• Lead the design, evolution, and standardization of the data architecture (Lakehouse) in a critical enterprise environment, including expansion to hybrid/multi-cloud architectures (Azure + GCP), ensuring scalability, resilience, and high availability.
• Ensure adherence to data standards (STG/RAW/TRUSTED/REFINED layers, Delta Lake, business rules), governance (catalog/lineage, data quality), and security (identities, access control, segregation, and data protection).
• Serve as the technical reference for supporting the data ecosystem (Databricks, LakeFlow Pipelines/Connect, Jobs/Orchestration, batch/streaming integrations, CDC/replication), supporting troubleshooting, performance tuning, cost optimization, and end-to-end stability.
• Support squads and business stakeholders in defining requirements, modeling (conceptual/logical/physical), designing data products, and establishing best practices for consumption (BI, endpoints/APIs, enterprise integrations, Model Serving/Vector Search when applicable).
• Be responsible for architectural decisions (ADRs), documentation, technical governance, CI/CD practices (Git), observability/monitoring, and continuous alignment with Infrastructure, Security, Networking, and Cloud teams.

Requirements

• Strong experience as a Data Architect / Data Solutions Architect supporting enterprise production environments and integrations with multiple data sources;
• Proficiency in Databricks/Spark, Delta Lake, SQL, and Python, with hands-on experience designing pipelines (batch/streaming), performance optimization, partitioning, governance, and reliability.
• Experience in cloud data architecture, with a focus on Azure (e.g., ADLS, networking/Private Link, IAM/Entra ID, Secrets/Key Vault, monitoring) and integration with GCP (e.g., BigQuery/GCS and cross-cloud connectivity/security);
• Strong communication skills, empathy, organization, and the ability to work with diverse stakeholders;
• Hands-on, proactive, collaborative, and results-oriented profile;

Benefits

• Bachelor's degree completed or in progress in Computer Science, Engineering, Information Systems, Systems Analysis, or related fields;