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.

Accountabilities:

• 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

How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best!  Why Apply Through Jobgether?    Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time.     #LI-CL1