Principal Data Engineer - English Required

This position is listed on behalf of a partner company, who manages all applications and next steps. Our partner is looking for a Principal Data Engineer based in Brazil.

This role is a senior technical leadership position focused on designing and scaling modern data platforms that power analytics, machine learning, and data-driven decision-making across global clients. You will act as a key architect of enterprise-grade data ecosystems, ensuring high performance, scalability, security, and reliability across complex data environments. Working in a highly collaborative and international setup, you will partner with data scientists, engineers, product teams, and business stakeholders to transform raw data into strategic business value. The role combines deep hands-on engineering with architectural leadership, requiring the ability to define standards, guide technical direction, and elevate engineering maturity across teams. You will also play a critical mentoring role, supporting engineers of varying seniority while shaping best practices across data engineering initiatives. This is a high-impact position where your decisions directly influence platform efficiency, data quality, and business outcomes at scale.

Accountabilities:

Design, build, and evolve large-scale, cloud-based data platforms that support analytics, machine learning, and business intelligence use cases

• Lead the development and optimization of scalable ETL/ELT pipelines for batch and near real-time data processing
• Define and implement data architecture standards, modeling approaches, and governance frameworks across projects
• Architect and maintain cloud-native data solutions using platforms such as AWS, Azure, or GCP
• Establish best practices for data quality, observability, monitoring, lineage, and security across data systems
• Collaborate closely with data scientists, analysts, and product teams to deliver reliable, production-ready datasets
• Lead technical discussions, conduct code reviews, and mentor data engineers across different levels of experience

Requirements:

8+ years of experience in data engineering, data architecture, or data platform roles, with exposure to enterprise-scale systems

• Strong expertise in SQL and advanced Python development for data processing and pipeline engineering
• Proven experience designing and implementing scalable ETL/ELT pipelines in cloud-based environments
• Deep knowledge of data modeling techniques such as Star Schema, Snowflake, or Data Vault
• Hands-on experience with orchestration tools such as Airflow, dbt, or equivalent technologies
• Strong experience with cloud platforms including AWS, Azure, or GCP, and modern data warehouse/lake architectures
• Solid understanding of CI/CD practices, data governance, security, and compliance standards
• Strong leadership, communication, and mentoring skills with the ability to influence technical decisions
• Advanced English proficiency for collaboration with international stakeholders

Benefits:

• Fully remote work with international project exposure
• Opportunity to work with global brands and high-growth startups
• Access to diverse and complex data engineering challenges across multiple industries
• Flexible work arrangements aligned with project needs
• Paid time off including birthday leave
• Learning and development support, including courses, certifications, and English classes
• Multicultural and collaborative work environment
• Participation in tech meetups, events, and knowledge-sharing initiatives
• Career growth opportunities across multiple technical and leadership paths

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