Principal Data Engineer Team Lead
São Paulo, São Paulo, Brazil. Buenos Aires, Buenos Aires, Argentina. Bogotá, Bogota, ColombiaFull-TimePrincipal
Salary not disclosed
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Job Details
- Languages
- Upper-Intermediate+ English level
- Experience
- 7+ years
- Required Skills
- AWSNode.jsSQLExpress.jsJavascriptReact.jsSnowflakeTypeScriptAirflowData engineeringdbt
Requirements
- 7+ years of experience in Data Engineering
- Experience designing and operating production-grade data platforms
- Proven experience designing scalable ELT pipelines in AWS
- Deep expertise in Snowflake architecture, performance tuning, and data modeling
- Strong hands-on experience with dbt for modular data modeling, transformations, testing, and documentation
- Expertise in data orchestration tools (Airflow, Dagster, Prefect, or similar)
- Advanced SQL skills for data transformation and analysis
- Strong leadership and mentorship abilities to guide engineers, establish standards, and drive engineering excellence
- Excellent communication skills across technical and non-technical audiences
- Innovative mindset to implement improvements in data architecture, tooling, and performance
- High attention to detail, adaptability, and effective time management skills
- Upper-Intermediate+ English level
- Bachelor’s degree in Computer Science or equivalent certifications (desirable)
- Full-stack web development experience (TypeScript, React.js, JavaScript, Node.js, Express.js) (desirable)
- Experience with CMS development or digital signage solutions (desirable)
- Advanced knowledge of cloud security best practices (desirable)
Responsibilities
- Lead the design and evolution of our data ecosystem, combining hands-on engineering with mentoring the team and driving best practices
- Architect our data ecosystem, ensuring the platform powers frontend applications efficiently
- Lead and mentor the team, driving technical excellence through code reviews and best practices in data modeling
- Build and maintain automated DAGs and ELT workflows for reliable, 24/7 data availability
- Design and optimize Snowflake datasets to support analytics and customer-facing features
- Partner with DevOps to configure and manage AWS services for smooth data ingestion and transformation
- Proactively monitor workflows, troubleshoot failures, and ensure reliability via dbt testing
- Collaborate with developers to align Node.js backends and React frontends with the data architecture
- Establish data standards and document pipelines, DAGs, and data models for onboarding and knowledge sharing
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