Sr Data Engineer - Snowflake

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