SR Data Platform Engineer

This position is posted by Jobgether on behalf of a partner company. We are currently looking for a SR Data Platform Engineer in Brazil.

This role is an opportunity to shape and evolve a large-scale data platform that powers analytics, learning, and operational intelligence across multiple teams. You will design and implement high-performance data pipelines and distributed systems that directly impact how data is collected, processed, and consumed across the organization. The environment is highly collaborative and AI-driven, with a strong focus on scalability, data quality, and cost efficiency in cloud ecosystems. You will act as a key technical reference point, guiding architectural decisions and ensuring best practices across data engineering initiatives. This position requires strong ownership, deep technical expertise, and the ability to solve complex platform challenges in production environments. It is ideal for engineers passionate about data architecture, distributed systems, and building impactful, large-scale data products.

• Design and implement scalable data platform solutions, including high-volume data pipelines and architecture decisions impacting multiple downstream teams.
• Develop and optimize distributed data processing workflows using modern frameworks and cloud-native services.
• Conduct deep technical code reviews, focusing on performance, scalability, cost optimization, and maintainability trade-offs.
• Serve as a technical reference for production issues, including debugging data inconsistencies and improving platform reliability.
• Collaborate with cross-functional teams to define data contracts, ensure data quality, governance, and low-latency delivery to consumers.
• Identify technical debt within the platform and lead initiatives to improve architecture, performance, and maintainability.
• Contribute to an AI-driven engineering environment by applying and evolving AI use cases in data platform workflows.

Requirements:

• Strong programming experience in Python, Scala, Java, or Go.
• Advanced SQL skills and solid understanding of data modeling and query optimization.
• Strong foundation in algorithms, data structures, and scalable system design.
• Hands-on experience with distributed processing frameworks such as Apache Spark or Apache Beam.
• Experience with containerization and orchestration tools like Docker and Kubernetes.
• Familiarity with CI/CD pipelines and modern DevOps practices.
• Experience with monitoring, observability, and maintaining production-grade data platforms.
• Proficiency in workflow orchestration tools such as Airflow, dbt, or Dataform.
• Strong experience with Google Cloud Platform services (e.g., BigQuery, GCS, GKE, Pub/Sub, Dataflow, Composer, Cloud SQL, IAM).
• Experience supporting or managing analytics and BI platforms such as Looker, Tableau, or Metabase.
• Nice to have: experience with AI-driven data architectures, including RAG pipelines and agent-based systems.
• Nice to have: experience building data lake, data warehouse, or lakehouse architectures.
• Nice to have: infrastructure-as-code experience.
• Strong problem-solving skills, autonomy, and ability to operate in complex distributed environments.

Benefits:

• Competitive compensation package.
• Remote-first position based in Brazil.
• Health and dental insurance coverage.
• Meal and food assistance benefits.
• Extended maternity and paternity leave.
• Childcare assistance support.
• Wellness partnerships and mental health support programs.
• Education incentives and professional development support.
• Discounts on travel and airline tickets.
• Pet health plan partnerships.
• Access to educational materials for employees’ children.
• Partnerships for MBA and postgraduate studies.
• Inclusive and diverse work environment promoting equity and belonging.