Platform Engineer

• Design, build, and maintain scalable data architectures and data models.
• Develop and optimize ETL and data ingestion pipelines following Medallion Architecture principles.
• Build and maintain Snowflake data warehouse solutions and dbt transformation models.
• Develop workflow orchestration pipelines using Dagster or similar tools.
• Manage and optimize cloud-based data storage on AWS S3.
• Design and maintain graph-based data models where appropriate.
• Support entity-matching pipelines and associated data structures.
• Collaborate closely with AI and Data Science teams to enable reliable data consumption for AI applications.
• Provide technical guidance and promote data engineering best practices across the team.
• Participate in Agile ceremonies and contribute to continuous improvement initiatives.

Senior Data Engineer, AI Data Platform

• Design, implement and evolve cloud environments in AWS and Azure, following architectural, security and governance standards.
• Automate infrastructure provisioning and management using Terraform and Infrastructure as Code (IaC) practices.
• Administer and enhance Kubernetes environments, ensuring application availability, scalability and performance.
• Implement and improve observability, monitoring and proactive service experience management solutions.
• Support FinOps initiatives by identifying opportunities to optimize costs and efficiency of cloud resource consumption.
• Define and evolve governance controls, ensuring compliance with corporate policies and regulatory requirements.
• Contribute to continuous improvement of operational processes following ITIL best practices.
• Collaborate with Development, Infrastructure, Security and Architecture teams to ensure the evolution of corporate platforms.
• Identify, analyze and resolve complex issues, promoting stability and operational excellence of the environments.

Senior Analyst – Cloud & Platform Engineering

• Take end-to-end ownership of the data platform's reliability, encompassing pipelines, warehousing, transformations, and observability.
• Design, build, and maintain robust data pipelines using Apache Airflow, orchestrating complex workflows across batch and near-real-time workloads.
• Manage and optimize the primary Snowflake data warehouse, handling schema design, clustering keys, materialized views, access controls, and strict cost governance.
• Build and maintain the dbt transformation layer, including model design, incremental strategies, dependency management, and documentation.
• Deploy and operate data platform services on Kubernetes (EKS), independently managing workloads, debugging pod issues, and tuning resource requests.
• Provision and manage data platform infrastructure, including Snowflake resources and Airflow, utilizing Terraform.
• Write high-quality SQL and Python for ETL tooling, pipeline logic, and data product delivery.
• Manage PostgreSQL as a source-of-truth operational database, focusing on query optimization, indexing, replication, and migrations.
• Lead the transition toward change data capture (CDC) for data ingestion, utilizing tools like Debezium to stream database changes.
• Implement comprehensive observability, SLA tracking, and alerting across the data platform using Datadog.
• Maintain CI/CD pipelines for DAG deployments, dbt runs, schema migrations, and container image builds.
• Collaborate with analytics, product, and full-stack development teams to model clean, well-documented data products.
• Navigate AWS environments (including RDS and S3) to manage data-adjacent services, read logs, and adjust scaling parameters.

Senior Data & Platform Engineer – Veterinary Technology

• Write production code and infrastructure-as-code, not review it
• Debug slow queries, analyze traces, resolve production incidents personally
• Make architectural decisions on the shared platform with full accountability
• Evaluate and adopt AI tooling into your daily engineering workflow
• Operate in high ambiguity with limited process and high expectations for output

Staff Platform Engineer

• Design and implement tools and technologies to provision and configure an enterprise software system hosted in Kubernetes
• Design and implement architecture and networking solutions within Azure
• Automate/script existing processes using languages such as python and bash
• Provision, configure, and maintain cloud resources using Terraform and Terragrunt
• Actively monitor the application environment and respond to incidents
• Conduct root cause analysis for production incidents
• Oversee cloud infrastructure and recommend any potential improvements to technology or process
• Contribute to team planning to solve engineering challenges
• Be a dependable and highly skilled development resource for peers through education and review
• Have a broad awareness of related projects and industry trends, and encourage innovative practices among peers
• Provide detailed feedback and suggestions to team code reviews
• Document and demonstrate solutions through written documentation, diagrams, and readable code

Platform Engineer jobs in Brazil

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Senior Data Engineer, AI Data Platform

Senior Analyst – Cloud & Platform Engineering

Senior Data & Platform Engineer – Veterinary Technology

Staff Platform Engineer

Platform Engineer