Senior Data Platform Engineer
Senior Data Platform Engineer
The team is looking for someone who can operate independently, improve platform performance and reliability, and help shape the future of a growing cloud-based data ecosystem while working alongside a highly technical group of engineers
What they're looking for:
- 8+ years of data engineering, software engineering, or data platform engineering experience.
- Proven experience building and operating large-scale production data platforms.
- Strong background with cloud-based data infrastructure and modern analytics ecosystems.
- Hands-on experience with technologies such as Spark, Snowflake, Databricks, Trino, Presto, Iceberg, Delta Lake, or Parquet.
- Deep understanding of data storage design, partitioning strategies, query optimization, file sizing, compaction, and performance tuning.
- Experience improving data quality, observability, lineage, monitoring, and platform reliability.
- Strong Python, SQL, Linux/Unix, and scripting skills.
- Experience working within CI/CD environments and supporting production systems.
Nice to have:
- Experience with AWS data services and cloud-native architectures.
- Exposure to streaming technologies such as Kafka, Flink, or similar platforms.
- Background working with large-scale time-series, telemetry, financial, trading, or market data environments.
- Experience balancing performance, scalability, correctness, and cost optimization in real-world systems.
- High-impact engineering work with significant ownership.
- Opportunity to shape a growing data platform from the ground up.
FAQs
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