Lead Data Engineer, Metrics Platform
Core
Design, build, and operate Grab's central metrics platform enabling trusted business and product metrics at scale for AI-powered data workflows.
Role type
Lead Data Engineer (Metrics Platform)
Builds
Central metrics platform, metric serving, ingestion, metadata, query generation, and platform APIs
Domain
Data Engineering / AI Data Ecosystem
Deliverable
production ML models
Required skills
Go, Python, Scala, Rust, Java, API design, ETL/ELT pipelines, analytical storage systems, data quality processes, architectural trade-offs, technical leadership, mentoring
Preferred skills
Apache Pinot, StarRocks, cloud services, AI-powered coding tools
Technologies
Apache Pinot, StarRocks, Go, Python, Scala, Rust, Java
Responsibilities
Lead major platform initiatives for modeling and publishing trusted metrics; Shape technical direction balancing reliability, scalability, and cost; Design and implement platform services, APIs, and metadata systems; Turn ambiguous requirements into clear technical designs and delivery plans; Lead technical collaboration with engineering, analytics, and data science teams; Strengthen engineering standards through design reviews and mentoring; Guide operation of metrics serving infrastructure; Lead investigations into reliability and performance issues; Guide responsible use of AI-powered tools for development and debugging.
Seniority
Lead, hands-on IC with mentorship
