Senior Data Systems Architect

Há 7 dias


São Paulo SP, Brasil beBeeData Tempo inteiro

Job Description We are seeking an experienced professional to lead the design and expansion of large-scale data platforms. This is a high-impact role responsible for architecting distributed systems, improving core platform capabilities, and guiding engineering teams in building reliable and performant data workflows. The ideal candidate will have a strong background in data platform engineering, with expertise in designing scalable data storage, processing, and transformation systems. This position offers the opportunity to shape the future of a large-scale data platform used across the organization. Key Responsibilities Data Platform Architecture & Engineering Design highly scalable data storage, processing, and transformation systems Lead development of Iceberg-based lakehouse components and metadata systems Design and optimize distributed ETL and streaming pipelines using Spark and Kafka Build backend services in Python, Go, Scala, or Java to support platform capabilities Improve Trino performance, query federation, and metadata scalability Experimentation Platform Leadership Develop and champion tools, frameworks, and processes that drive experiment validity Partner with executives, product, and data science on experiment design and analytics strategy Build automation that increases rigor and efficiency across experimentation workflows Data Governance, Security & Reliability Own RBAC strategy, IAM standards, and enterprise data access patterns Lead observability initiatives using Datadog for logs, alerts, and distributed performance metrics Ensure reliability, reproducibility, and schema governance across all data assets Guide best practices for metadata integrity and data lifecycle management Infrastructure & Deployment Lead Kubernetes and Helm deployment patterns for data platform services Build automation that improves operational efficiency and reduces platform friction Drive capacity planning, scaling strategies, and performance tuning for large data systems Technical Leadership & Mentorship Influence platform roadmap and long-term architectural decisions Mentor engineers across the team and support onboarding to platform systems Write clear documentation and contribute to engineering playbooks


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