Senior Data Engineer
Senior data engineer who will set architecture standards, lead large-scale pipeline initiatives, and build reliable cloud-native data platforms on AWS. The role requires expertise in orchestration, batch and streaming systems, infrastructure as code, and modern data architectures.
About the job
Responsibilities
- Serve as a senior technical reference for data engineering, establishing data modeling and data pipeline architecture standards and best practices.
- Lead high-impact data engineering initiatives across multiple domains.
- Partner with Product, Finance, Engineering, and business teams to translate strategic needs into reliable, scalable data solutions.
- Evaluate build-versus-buy decisions for product analytics and data infrastructure.
- Manage technical debt while maintaining scalability, reliability, and maintainability.
Requirements
- Proven experience as a senior data engineer owning large-scale data pipelines and complex data architectures.
- Strong technical judgment, problem-solving skills, attention to detail, and process-improvement mindset.
- Understanding of modern data engineering practices, including data lakes, lakehouse architectures, and ETL/ELT.
- Experience designing and operating cloud-native data platforms on AWS, including orchestration, storage, compute, and IAM.
- Strong experience with orchestration and workflow tools such as Airflow.
- Working knowledge of infrastructure-as-code principles and tools such as Terraform.
- Experience building and operating batch and streaming data systems, including trade-offs between them.
- Strong communication and collaboration skills in a distributed, international environment.
Nice to Have
- DBT and metadata/catalog tools.
- DMS, AppFlow, SQS, and SNS.
- Data Mesh and domain-driven data architecture patterns.
- Experience delivering production-grade software systems.
- Kafka, Kinesis, and Spark Streaming.
Compensation and Benefits
- Compensation is paid in BRL under a CLT employment arrangement.
- Remote-first culture with in-person team events throughout the year.
Skills
AWS, Data Lakes, Lakehouse, ETL, ELT, Apache Airflow, Terraform, Kafka, Amazon Kinesis, Spark, dbt, Aws Iam, Amazon Sqs, Amazon Sns, Aws Dms
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