← Todas as vagas

Data Platform Engineer, Data Infrastructure – Services

Sobre a vaga

• Own platform outcomes from intent through production
• Design, provision, configure, and evolve cloud environments using version-controlled, reusable Terraform IaC modules
• Build and maintain automated CI/CD deployment pipelines
• Assist with migrating legacy workloads, storage layers, and pipelines from AWS and Azure to GCP
• Support the design, deployment, and optimization of data primitives, analytics platforms, and batch and streaming pipeline orchestration
• Translate security, privacy, compliance, and risk requirements into automated technical guardrails
• Implement IAM, network controls, secrets management, data classification, and encryption
• Maintain observability, technical documentation, ADRs, deployment evidence, and runbooks
• Integrate AI coding assistants and LLM workflows into platform operations, troubleshooting, documentation, and code reviews
• Manage cloud spend through labeling standards, capacity monitoring, cost-control policies, and lifecycle practices
• Ensure infrastructure, observability, recovery, operational readiness, and governance compliance before production release
• Work in a lean Platform Engineering pod and collaborate with lead data engineers

• Ability to read, reason about, and debug code, data pipelines, and infrastructure across multiple layers of the stack
• Ability to use AI to execute beyond primary expertise while critically validating output for safety and performance
• Solid foundational knowledge of AWS, Azure, or GCP
• Hands-on capability or strong willingness to specialize in GCP
• Hands-on experience with declarative IaC tools such as Terraform
• Experience with state management and CI/CD pipelines such as GitHub Actions
• Working knowledge of modern data stack primitives and tooling, including BigQuery/Redshift, Airflow/Cloud Composer, Pub/Sub/Kafka, Dataflow, or dbt
• Ability to use AI tools by default to accelerate delivery and solve complex platform issues
• Ability to identify plausible-but-wrong AI outputs
• Sound systems thinking and pragmatic judgment
• Self-directed approach and operational discipline

• Purpose-driven work creating tangible real-world impact
• Collaborative and supportive team culture
• Opportunity to build a career and drive collective growth
• Entrepreneurial environment with ownership and initiative
• Global team environment
• Accommodation support during the application process