about 10 hours ago
Base Salary
$130k - $300k/yr
Responsibilities
- Design, build, and operate core components of the lakehouse platform.
- Drive adoption of open table formats and integrate various query engines.
- Build observability for managed iceberg tables to identify performance bottlenecks.
- Create self-serve tooling for data engineering teams to run pipelines.
- Collaborate with teams to define the roadmap for lakehouse architecture.
Requirements
- BS/MS/PhD in Computer Science, Engineering, or related field, or equivalent experience.
- Deep experience with Apache Iceberg, Trino, or Apache Spark, with significant open-source contributions.
- Experience building or operating large-scale distributed data systems.
- Solid understanding of query planning and columnar file formats.
- Fluency in Java, Scala, or Go, and comfortable with Python.
- Experience deploying data infrastructure on Kubernetes in cloud environments.
Benefits
- Competitive salary and equity package.
- Comprehensive healthcare and dental benefits.
- Parental planning and mental health benefits.
- 401(k) plan with match.
- Paid time off and fitness reimbursements.
- Discounted employee stock purchase plan.