Senior Data Engineer
Core
Design and build a robust, scalable, high-performance real-time data backbone to support analytics and reporting for global brands.
Role type
Senior Data Engineer (Real-time Data Infrastructure)
Builds
Real-time data pipelines, semantic layers, and unified customer data platforms
Domain
Digital marketing, affiliate marketing, customer data platforms
Deliverable
production ML models | product features | dashboards & analysis
Required skills
Data pipeline architecture, Semantic layer design (Cube.js), Data integration (Salesforce, CDP, SCV), dbt transformation, Apache Airflow orchestration, Cloud platforms (AWS/GCP/Azure), Python, SQL, Data modeling
Preferred skills
Experience with pre-aggregations and caching strategies, Experience with multi-tenancy, Whiteboarding architecture
Technologies
Cube.js, dbt, Apache Airflow, Salesforce Marketing Cloud, CDP, SCV, AWS, GCP, Azure, Python
Responsibilities
Design and maintain scalable data pipelines for real-time analytics; Take ownership of the semantic layer using Cube.js; Integrate and unify data from Salesforce, CDP, and SCV sources; Lead development of transformation workflows using dbt; Architect and manage pipeline orchestration via Apache Airflow; Monitor and optimize pipeline performance; Mentor junior engineers
Seniority
Senior, hands-on IC with mentorship responsibilities
