Hybrid Data Architect

Posted 1 hour ago

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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;

Job title

Data Architect

Job type

Experience level

Mid levelSenior

Salary

Not specified

Degree requirement

Bachelor's Degree

Location requirements

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