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As a Senior Data Engineer, you will manage the discovery-to-scale pipeline, identifying recurring patterns in the field and handing off validated solutions to Platform Engineers for enterprise generalization. In this forward-deployed role, you will bridge the gap between building technical products and solving real-world business problems through rapid solution delivery and deep domain immersion. Your primary objective is to design and build data integration, storage systems, and infrastructure that enable analytics and AI capabilities.
✅ Bachelor's degree in Computer Science
✅ Bachelor's degree in Engineering
✅ 8–12 years experience
✅ Data engineering
✅ Multi-team leadership
✅ Enterprise Data Integration
✅ Architecture
✅ ETL
✅ ELT
✅ Data pipelines
✅ Cloud platforms
✅ AWS
✅ Azure
✅ GCP
✅ Infrastructure as Code
✅ Terraform
✅ CloudFormation
✅ CI/CD pipelines
✅ Data modeling
✅ Conceptual data modeling
✅ Logical data modeling
✅ Physical data modeling
✅ Data normalization
✅ Query performance
✅ Schema migrations
✅ AI
✅ MLOps
✅ Data validation
✅ Evaluation frameworks
✅ AI/ML governance
✅ Full-stack development
✅ Prototyping
✅ System Reliability & Resilience
✅ SRE
✅ Service level objectives
✅ SLOs
✅ SLIs
✅ Architectural leadership
✅ Scalable systems
✅ High-quality code
✅ Enterprise standards
Data Engineering, Cloud (AWS/Azure/GCP), Infrastructure as Code
Não informado
Não informado
Híbrido
São Paulo
✅ Challenging and rewarding work
✅ Access to Cutting-Edge AI Platforms
✅ Diverse and Inclusive Culture
✅ Growth opportunities
✅ Collaborative and innovative environment
✅ Exposure to exciting projects
✅ Supportive work environment
✅ Hybrid working model
✅ High-level autonomy
✅ Influence multiple teams
✅ Navigate complexity and ambiguity
✅ Focus on business impact
✅ Polymath oriented
✅ Curious explorer
✅ Outcome owner
✅ Systems thinker
✅ Precise communicator
✅ Problem discoverer
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Vaga via: LinkedIn
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