Data Cloud Engineer (DataOps)

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 digitally native brands (not an agency) with presence in Walmart Nordstrom and Amazon and a strong global D2C 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.

Key Responsibilities

The mission of the Data Cloud Engineer is to design implement and maintain scalable secure and cost-effective cloud infrastructure and data pipelines on AWS . This role combines DevOps and DataOps practices to ensure seamless infrastructure automation data management and deployment workflows. The engineer will collaborate cross-functionally with data BI and development teams to support critical business needs while proactively identifying improvements in automation security and cost efficiency.

• Design deploy and optimize AWS cloud infrastructure (S3 Redshift Lambda ECS) for scalability and performance.

• Build and maintain data architectures and ETL pipelines supporting BI and analytics.

• Implement Infrastructure as Code (Terraform Terragrunt) and manage CI/CD pipelines for automation.

• Use Docker and Kubernetes to enable containerized reliable deployments.

• Ensure cloud security compliance and cost efficiency across environments.

• Collaborate with engineering and data teams to resolve issues and enhance workflows.

• Document best practices and share expertise to strengthen the team’s capabilities.

• 3+ years of experience as a Cloud DevOps or Data Engineer.

• Deep expertise with AWS services (S3 Redshift Glue Lambda EMR ECS RDS DynamoDB).

• Strong background in data architecture ETL design and automation.

• Proficiency in Terraform/Terragrunt for IaC and CI/CD pipeline management.

• Knowledge of Docker Kubernetes and container orchestration.

• Understanding of cloud security frameworks and compliance standards.

• Solid scripting skills in Python or Bash.

• Strong communication collaboration and problem-solving skills.

• A mindset of ownership curiosity and continuous learning.