Responsibilities
- Own and lead large technical domains starting from the problem definition and technical requirements to implementation and maintenance
- Lead multi-engineer projects of strategic importance to Tecton spanning cross-functional teams including product management and other engineering teams
- Drive efforts to improve engineering practices, tooling, and processes along with mentorship for senior engineers
- Develop a deep understanding of the fundamental problems our customers face in building ML systems
- Be a generalist as needed. We’re a small, but growing engineering team and each engineer needs to be versatile
Qualifications
- Experience working in large Python, Java, Kotlin, or Go codebases and running cloud-native Spark systems (e.g. AWS EMR, Databricks, GCP Dataproc)
- Experience in performance tuning of Spark, Ray, Maestro, or Airflow jobs
- Knowledge of data formats such as Parquet, Avro, Arrow, Iceberg, or Delta Lake and object storage (e.g. S3, GCS)
- Expertise with cloud-scale query performance, query optimization, query planning, heuristic query execution techniques, and cost-driven optimizations
- Experience with internals of distributed systems, SQL/NoSQL databases, data lakes, or data warehouses
- Strong communication skills and ability to write detailed technical specifications
- Excitement about coaching and mentorship of junior engineers
- BSc, MS, or PhD in Computer Science or related fields
- 8+ years of experience in building product software systems
- 5+ years of technical leadership experience for a group of engineers
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