Back to SearchSenior Data Platform Engineer
Remote in Brazil, & 2 others
Data Software Engineering& 11 others
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We are seeking a Senior Data Platform Engineer to help define, build, and operate the Enterprise Data Platform (EDP), a centralized, governed, and scalable data foundation that enables enterprise analytics and accelerates insight delivery. This role contributes to the end-to-end data platform capability as a strategic enterprise asset, supporting the design and execution of a modern AWS native lakehouse platform while applying strong technical expertise and collaborating within a federated data model that supports domain ownership and centralized governance.
Responsibilities
- Contribute to the enterprise data platform strategy and roadmap
- Design and evolve a modern AWS native lakehouse architecture
- Establish scalable, reusable data platform patterns and standards
- Support migration from legacy Microsoft based data platforms
- Apply and refine the federated data operating model, including domain responsibilities and data product standards
- Support delivery and ongoing operation of the data platform
- Develop data ingestion pipelines and transformation frameworks
- Ensure platform reliability, performance, and scalability
- Implement monitoring, observability, and operational controls
- Optimize platform cost efficiency across storage, compute, and data processing workloads
- Apply and enforce data governance standards, policies, and controls
- Support tooling and technology decisions across the platform ecosystem, including reference architectures for batch, streaming, and real-time processing
Requirements
- 3+ years of experience in data engineering, data platforms, or related fields
- Hands-on expertise in AWS data ecosystem services such as S3, Glue, and Lake Formation
- Proficiency in AWS DataZone, IAM, and query engines such as Athena or Redshift
- Experience designing and implementing lakehouse or modern data platform architectures
- Expertise in data ingestion, ETL/ELT pipelines, and orchestration frameworks
- Understanding of data governance, security, and access control models
- Experience with enterprise data cataloging and metadata management
- English proficiency at B2 level or higher
Nice to have
- Experience migrating from Microsoft-centric data platforms such as SQL Server, SSIS, and Azure
- Familiarity with domain-oriented or data mesh operating models
- Experience supporting analytics tools such as Power BI
- Knowledge of data sharing and cross-domain data product models
- Exposure to agentic AI capabilities and data access patterns for AI workloads