Chief Data Infrastructure Architect

Há 22 horas

Campo Largo, Brasil Bebeearchitecture Tempo inteiro

Transform the Nearsure experience by joining our close-knit remote team, fostering connections through activities like coffee breaks and tech talks.We champion autonomy, open communication, and respect for diversity as core values.Your well-being matters: Our People Care team supports you from day one with time-off requests and wellness check-ins.We prioritize smooth client relationships, allowing you to focus on what you do best.By joining us, you'll receive:Competitive salary - valuing your skills and contributions100% remote work - with opportunities to connect at coworking spaces across LATAMPaid time off - take necessary time according to country regulations, receiving full salaryNational Holidays celebrated - embracing culture and traditions with loved onesSick leave - focus on health without stressRefundable Annual Credit - enhance work-life balance with perks you loveTeam-building activities - bond with colleagues through coffee breaks and gatheringsBirthday day off - celebrate in style with friends and familyAs a Chief Data Infrastructure Architect (AWS), you will lead the design and optimization of global, multi-cloud data infrastructure.This role requires deep technical expertise across AWS, Azure, and modern data stack tools, along with the ability to architect, scale, and govern complex data systems that span regions and business units.You will contribute by:Architecting and managing scalable, fault-tolerant, and high-performance data pipelines using AWS Glue, Step Functions, Lambda, Azure Data Factory, and PythonDesigning and implementing global data infrastructure across multiple regions, optimizing for latency, availability, and compliance with international data standardsOwning and evolving the architecture of core databases and warehouses, including Snowflake, PostgreSQL, MySQL, DynamoDB, DocumentDB, and MongoDBLeading and overseeing data migrations between cloud platforms (AWS, Azure), legacy systems, and global regions with minimal downtime and high data integrityDefining standards for indexing, query optimization, partitioning, and sharding strategies to support high-throughput and low-latency workloadsChampioning observability by implementing and scaling monitoring, alerting, and dashboards via CloudWatch, Azure Monitor, Datadog, or similar toolsOrchestrating transformations using DBT or Coalesce, maintaining strong data lineage, validation, and governance across workflowsCollaborating cross-functionally with Engineering, DevOps, and Analytics teams to deliver data solutions that are secure, reliable, and cost-efficientMentoring engineers in best practices for database performance, automation, and data reliabilityDriving automation and operational excellence through CLI tools, APIs, infrastructure-as-code (Terraform, CloudFormation, or Bicep), and CI/CD pipelinesEnsuring data quality and compliance by implementing validation frameworks, automated testing, and consistent documentation across systems

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