Lead Data Engineer
Core
Designing, building, and maintaining the full lifecycle of data architecture, pipelines, modeling, and tooling for a remote-first technology organization.
Role type
Lead Data Engineer
Builds
Scalable data pipelines, analytics infrastructure, clean data models, and dashboards
Domain
Technology, Data Engineering, Cloud Infrastructure
Deliverable
production ML models | product features | dashboards & analysis
Required skills
SQL, Python, data pipeline architecture, data modeling, API integration, cloud infrastructure (AWS), Infrastructure as Code (IaC), data quality assurance
Preferred skills
Real-time analytics, streaming architectures (Kinesis/Kafka), reverse-ETL, embedded analytics
Technologies
Airflow, dbt, Fivetran, Redshift, ClickHouse, Metabase, Looker, Tableau, PowerBI, AWS, Kinesis, Kafka, ELK, VictoriaMetrics
Responsibilities
Architect and maintain scalable data pipelines across core systems; Build and manage analytics infrastructure using open-source and commercial tools; Ensure data quality and schema discipline; Deliver clean, consistent models and dashboards; Collaborate with stakeholders to support analytics and decision-making initiatives
Seniority
Senior, hands-on IC with strategic oversight
