Twilio
Mid
Build the data pipelines and lakehouse infrastructure behind Twilio's Data Platform
Twilio is hiring a Software Engineer for its Data Platform team to design and operate the frameworks that ingest, process, and analyze data at scale using the modern big-data stack (Kafka, Spark, Hive, Hudi, Presto, Airflow) on AWS. This interview probes 5+ years of hands-on distributed-data-systems experience, AWS-at-scale judgment, and the ability to turn ambiguous business requirements into reliable, cost-efficient data infrastructure.
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Free · a live voice mock calibrated to this exact role
What this interview tests
- Big data pipeline design (Kafka/Spark/Hive/Hudi/Presto/Airflow)
- AWS data services at scale (Lakeformation, Glue, Athena)
- Distributed systems fundamentals and data quality/integrity
- Translating business requirements into technical architecture
- Mentoring early-career engineers
Common question themes
Walk through a data pipeline you designed end-to-end and the tradeoffs you made
How would you architect ingestion for a new high-volume data source with reliability and cost constraints
Handling schema evolution or data quality issues in a production pipeline
Collaborating with analysts/product teams to scope an ambiguous data request
Debugging a Spark/Kafka performance or reliability issue at scale
Mentoring a junior engineer on a data platform problem
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