Principal Data Engineer Team Lead - OP02110

Dev.Pro

2d • Remote

About The Position

We invite a Principal Data Engineer / Team Lead to join our team and drive the development of our modern data platform. In this role, you’ll leverage your deep hands-on engineering expertise and technical leadership to design scalable data pipelines, manage databases and cloud infrastructure, and mentor engineers in delivering robust, high-quality data systems. You’ll focus on performance, scalability, and security, ensuring our data platform efficiently supports business growth and operates reliably in production.

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

Nice To Haves

• Bachelor’s degree in Computer Science or equivalent certifications
• Full-stack web development experience (TypeScript, React.js, JavaScript, Node.js, Express.js)
• Experience with CMS development or digital signage solutions
• Advanced knowledge of cloud security best practices

Responsibilities

• 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

Benefits

• Join a dynamic global tech company delivering digital merchandising solutions across 50+ markets
• Build and scale with a modern data stack (Snowflake, dbt, Airflow/Dagster, AWS)
• Combine hands-on data engineering work with technical leadership, guiding teams and promoting best practices
• We are 99.9% remote — you can work from anywhere in the world
• Get 30 paid days off per year to use however you like — vacations, holidays, or personal time
• 5 paid sick days, up to 60 days of medical leave, and up to 6 paid days off per year for major family events like weddings, funerals, or the birth of a child
• Partially covered health insurance after the probation, plus a wellness bonus for gym memberships, sports nutrition, and similar needs after 6 months
• We pay in U.S. dollars and cover all approved overtime
• Join English lessons and Dev.Pro University programs, and take part in fun online activities and team-building events

What This Job Offers

• Job Type: Full-time
• Career Level: Mid Level
• Number of Employees: 251-500 employees