Data and Solutions Architect
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Job Description
Arquiteto de dados e soluções na Digiage, consultoria que integra APIs, dados e IA para transformação digital. Projetando arquiteturas Cloud, Lakehouse e DataOps para grandes empresas.
Responsibilities:
- Design modern data architectures and technology solutions aligned with business objectives
- Eliminate silos and consolidate a single source of truth for strategic decision-making
- Define standards for data modeling, integration, governance, security, data quality, and compliance with the LGPD (Brazilian General Data Protection Law)
- Create scalable architectures in Cloud environments (Azure, AWS, or GCP), with a focus on Lakehouse platforms
- Design end-to-end solutions that connect business requirements to technical decisions
- Specify technologies, integrations, APIs, orchestration tools, and architectural patterns
- Support Data Engineering, Development, and Artificial Intelligence teams
- Lead technical and strategic decisions, ensuring performance, sustainability, and solution evolution
- Work on building Data Lake, Data Warehouse, and Lakehouse environments
- Evaluate and integrate legacy systems and ERPs, such as SAP, into modern data architectures
- Define CI/CD and versioning practices for data pipelines (DataOps), including automated testing and controlled deployment
- Apply FinOps principles to monitor and optimize Cloud infrastructure costs
Requirements:
- Solid experience in data architecture and solution architecture
- Experience designing enterprise architectures and distributed environments
- Knowledge of Cloud platforms (Azure, AWS, or GCP)
- Proficiency in Data Lake, Data Warehouse, Lakehouse concepts and data modeling
- Experience with system integration, APIs, and data platforms, including legacy/ERP systems
- Understanding of data governance, security, data quality, and LGPD compliance
- Experience in digital transformation and technology innovation projects
- Preferred: Hands-on experience with Databricks, Unity Catalog, and Delta Lake
- Preferred: Experience with projects involving Artificial Intelligence and Machine Learning
- Preferred: Knowledge of architectures for Big Data environments
- Preferred: Experience delivering scalable data and AI solutions in production
- Preferred: Experience integrating ERP/legacy systems (SAP, ETRM, etc.) in digital transformation contexts
- Preferred: Experience with CI/CD for data using Azure DevOps, GitHub Actions, or equivalent tools
- Preferred: Knowledge of FinOps practices for cost governance in Cloud and Lakehouse environments
Benefits:
- Contract type: PJ (independent contractor, no benefits) or CLT (formal employment)
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