Sr Data Engineer - Snowflake in Brazil, Indiana at Jobgether
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Job Description
This position is posted by Jobgether on behalf of a partner company. We are currently looking for a Sr Data Engineer - Snowflake in Brazil.
In this role, you will be responsible for leading the modernization and migration of large-scale data platforms, transitioning complex data pipelines from legacy environments to Snowflake. You will play a key role in defining and implementing scalable data architectures, ensuring high performance, reliability, and governance across enterprise data ecosystems. Working within a highly collaborative and agile environment, you will design and optimize data ingestion, transformation, and orchestration workflows following modern data engineering practices. You will also act as a technical leader, guiding engineering teams, supporting architectural decisions, and promoting best practices in data lifecycle management. This position requires strong expertise in distributed data systems and cloud data platforms, with a focus on delivering efficient, cost-optimized, and production-ready solutions. You will contribute directly to the evolution of modern data platforms that support business-critical analytics and decision-making.
- Lead the migration of data pipelines and workloads from Cloudera/Hadoop environments to Snowflake, ensuring scalability, performance, and governance.
- Design, implement, and optimize data architectures, defining transitions from AS-IS to TO-BE states in alignment with business and technical needs.
- Develop robust data ingestion, transformation, and loading pipelines using modern ELT and data engineering best practices.
- Apply advanced modeling approaches such as Data Vault and implement incremental and idempotent data processing strategies.
- Act as a technical lead, guiding architectural decisions and mentoring data engineering team members.
- Implement CI/CD pipelines for data workflows, ensuring version control, automated testing, and deployment reliability.
- Establish observability frameworks including monitoring, logging, metrics, and alerting for end-to-end data pipeline visibility.
- Apply FinOps practices to optimize Snowflake usage, improve cost efficiency, and ensure resource governance.
Requirements:
- Strong experience as a Data Engineer working with large-scale data platforms and enterprise environments.
- Proven hands-on experience with Snowflake, including architecture, optimization, and performance tuning.
- Solid background in Hadoop/Cloudera ecosystems and migration projects from legacy data platforms.
- Strong expertise in Apache Spark, advanced SQL, and data orchestration tools.
- Experience designing and building ELT pipelines and modern data architectures (Data Vault knowledge is a plus).
- Experience implementing CI/CD practices for data pipelines and automation workflows.
- Strong leadership skills with experience mentoring engineers and collaborating with cross-functional teams.
- Familiarity with FinOps principles and cost optimization in cloud data environments.
- Fluent English (Upper-Intermediate level or higher preferred).
Benefits:
- Competitive salary aligned with experience and market standards
- Remote-first work model within Brazil
- Comprehensive benefits package (health, wellness, and support programs)
- Career development and continuous learning opportunities
- Access to modern technologies and large-scale data projects
- Collaborative, innovation-driven, and global work environment
- Participation in impactful digital transformation initiatives