Senior Data Platform Engineer

Responsibilities

• Design and implement solutions for complex platform challenges, including high-scale pipeline architecture and modeling decisions
• Conduct technical code reviews focusing on performance, cost, and maintainability
• Act as a technical reference for production troubleshooting and cloud cost optimization
• Collaborate with partner teams on data contracts, latency, quality, and governance
• Identify and lead the execution of addressing technical debt
• Work in an AI-driven environment to enhance team productivity and data engineering processes

Requirements

• Proficiency in Python, Scala, Java, or Go
• Strong SQL skills
• Knowledge of algorithms, data structures, and application scalability
• Experience with distributed processing frameworks like Apache Spark or Beam
• Containerization and deployment experience with Docker and Kubernetes
• Experience with CI/CD and platform monitoring/observability
• Pipeline orchestration using Airflow, dbt, or Dataform
• Experience with Google Cloud Platform (BigQuery, GCS, GKS, IAM, DataProc, Cloud SQL, Composer, Pub/Sub, Dataflow)
• Management of analytical visualization platforms (Metabase, Looker, Tableau)

Preferred Qualifications

• Experience with AI architectures applied to data (RAG, MCP, agentic systems)
• Construction of data warehouse, data lake, or data lakehouse environments
• Infrastructure as Code (IaC)

Benefits

• Food and/or meal allowance
• Health and dental insurance
• Transportation voucher
• Extended maternity and paternity leave
• Childcare assistance
• Wellhub and Zenklub partnerships
• Education incentives and MBA/Post-grad partnerships
• Airfare discounts
• Pet health insurance partnership
• Access to Arco educational materials for children of employees

About the Company

Arcotech is the technology arm of Arco Educação. We develop digital solutions to help students, parents, and schools work together for more dynamic and effective learning.