AI Summary
Lead the design, scaling, and optimization of data pipelines, BI systems, and ML infrastructure at Trafilea, ensuring high-quality analytics and operational performance. Collaborate cross-functionally to drive data-driven decision-making and support growth marketing initiatives. Requires 4+ years in data engineering, ML infrastructure, and AWS cloud ecosystems.
Key Highlights
Architect and scale end-to-end data pipelines, ML models, and BI systems for a global eCommerce platform
Own data quality, governance, and performance optimization across AWS cloud infrastructure
Partner with marketing, analytics, and commercial teams to operationalize ML models and business metrics
Key Responsibilities
Design and scale ETL/ELT pipelines and Airflow-driven workflows for data extraction, transformation, ML modeling, and reporting
Build and maintain high-quality data models, SQL transformations, and centralized BI dashboards to support business decision-making
Establish data governance, monitoring, alerting, and SLAs to ensure accuracy, reliability, and trust in business metrics (e.g., CAC, ROAS, LTV)
Operationalize ML models in batch and real-time environments, enabling Marketing Science and analytics teams
Optimize SQL queries and large-scale datasets for performance, cost-efficiency, and scalability within AWS (Redshift, S3, Glue, etc.)
Collaborate with cross-functional teams to define and report core business metrics for executive decision-making
Technical Skills Required
Benefits & Perks
100% remote work
USD competitive salary
Paid time off
Nice to Have
Experience with dbt or modern ELT frameworks
Specialized e-commerce and marketing analytics expertise (CAC, ROAS, LTV, retention, funnel optimization)
Job Description
About Trafilea
Trafilea is a Consumer Tech Platform for Transformative Brand Growth. We’re building the AI Growth Engine that powers the next generation of consumer brands. With over $1B+ in cumulative revenue, 12M+ customers, and 500+ talents across 19 countries, we combine technology, growth marketing, and operational excellence to scale purpose-driven, digitally native brands. We own and operate our own D2C brands (not an agency), with a presence in Walmart, Nordstrom, Amazon, and a strong global footprint.
Why Trafilea
We’re a tech-led eCommerce group scaling our own globally loved DTC brands, while helping ambitious talent grow just as fast.
🚀 We build and scale our own brands.
🦾 We invest in AI and automation like few others in eCom.
📈 We test fast, grow fast, and help you do the same.
🤝 Be part of a dynamic, diverse, and talented global team.
🌍 100% Remote, USD competitive salary, paid time off, and more.
Job Responsibilities
Interested in remote work opportunities in Devops? Discover Devops Remote Jobs featuring exclusive positions from top companies that offer flexible work arrangements.
Key Responsibilities
- Pipeline & System Architecture: Architect, scale, and maintain end-to-end ETL/ELT pipelines and Airflow-driven workflows across the full data lifecycle (extraction transformation ML modeling reporting).
- Data Modeling & BI Delivery: Design and optimize SQL transformations, datasets, and high-quality data models. Build, centralize, and maintain dashboards and analytical tools to translate business needs into scalable BI solutions.
- Data Quality & Governance: Establish strong governance, monitoring, alerting, SLAs, data validation, and anomaly detection. Perform root-cause analysis to ensure high accuracy, reliability, and business trust in metrics.
- Machine Learning & Analytics Support: Operationalize ML models in batch/real-time environments and build internal data tools to empower Marketing Science, Analytics, and commercial teams.
- Performance & Cost Optimization: Optimize complex SQL queries and large-scale datasets for performance, cost-efficiency, and scalability across the AWS cloud ecosystem.
- Stakeholder Collaboration: Partner with cross-functional teams to define and report on core business metrics (e.g., CAC, ROAS, LTV, conversion funnels) to directly guide executive decision-making.
- Experience: 4+ years in Data Engineering, Analytics Engineering, BI, or ML Engineering in production environments.
- SQL & Modeling: Advanced SQL proficiency (joins, CTEs, window functions, optimization) and proven experience designing/maintaining production data models and pipelines.
- AWS Stack: Hands-on experience with core AWS data services (e.g., Redshift, S3, Glue, Athena, Lambda).
- Orchestration: Hands-on experience with Apache Airflow for workflow management.
- Programming & Engineering Standards: Strong Python skills (OOP focus), experience with CI/CD practices (GitHub Actions/GitLab), and containerization (Docker, Kubernetes/ECS/EKS).
- BI & Data Quality: Proficiency with BI platforms (Tableau,Quicksight or similar) and direct ownership of production reporting, data quality, and root-cause analysis.
- Soft Skills: Systems-level thinker with high standards for documentation, scalability, precision, and communicating insights to technical and non-technical partners.
Browse our curated collection of remote jobs across all categories and industries, featuring positions from top companies worldwide.
- Experience with dbt or modern ELT frameworks
- Specialized e-commerce and marketing analytics expertise (CAC, ROAS, LTV, retention, and funnel optimization).
Similar Jobs
Explore other opportunities that match your interests
Senior Kubernetes & Go Engineer (Cloud-Native Systems & Microservices)
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
BairesDev
Mexico
Senior Cloud Engineer (Azure) - Remote
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
BairesDev
Brazil
Senior Kubernetes & Go Engineer (Cloud-Native Systems & Platform Infrastructure)
••••••
••••••
••••••
Job Type
••••••
Experience Level
••••••
BairesDev
Venezuela