Data Infrastructure Architect

Há 15 horas

Jundiaí, Brasil Bebeeinfrastructure Tempo inteiro

We are seeking a skilled Data Infrastructure Architect to lead the design and optimization of our global data infrastructure.This role requires deep technical expertise across multiple cloud platforms, including AWS and Azure.The successful candidate will be responsible for architecting and managing scalable, fault-tolerant, and high-performance data pipelines using AWS Glue, Step Functions, Lambda, Azure Data Factory, and Python.They will also design and implement global data infrastructure across multiple regions, optimizing for latency, availability, and compliance with international data standards.This includes owning and evolving the architecture of core databases and warehouses, including Snowflake, PostgreSQL, MySQL, DynamoDB, DocumentDB, and MongoDB.The candidate will lead and oversee data migrations between cloud platforms (AWS, Azure), legacy systems, and global regions with minimal downtime and high data integrity.Key responsibilities include defining standards for indexing, query optimization, partitioning, and sharding strategies to support high-throughput and low-latency workloads.They will champion observability by implementing and scaling monitoring, alerting, and dashboards via CloudWatch, Azure Monitor, Datadog, or similar tools.Additionally, they will orchestrate transformations using DBT or Coalesce, maintaining strong data lineage, validation, and governance across workflows.This role requires collaboration with Engineering, DevOps, and Analytics teams to deliver data solutions that are secure, reliable, and cost-efficient.The ideal candidate will have experience in database performance, automation, and data reliability.They will drive automation and operational excellence through CLI tools, APIs, infrastructure-as-code (Terraform, CloudFormation, or Bicep), and CI/CD pipelines.Finally, they will ensure data quality and compliance by implementing validation frameworks, automated testing, and consistent documentation across systems.

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