Senior Data Platform Engineer
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Summary
Senior Data Platform Engineer who designs, builds, and optimizes scalable analytics platforms and lakehouse architectures day to day — developing data pipelines, tuning distributed query workloads across MPP databases and warehouses, and implementing CI/CD, governance, and operational best practices. Core stack includes Apache Doris, StarRocks, ClickHouse, Iceberg/Delta Lake, Spark, Trino, and Pyt
We're Hiring: Senior Data Platform Engineer!
About the RoleWe are looking for an experienced Data Platform Engineer to design, build, and optimize scalable analytics platforms and modern lakehouse solutions. You will work on distributed data systems, high-performance query engines, and enterprise analytics environments.
Key Responsibilities
- Develop and support data platforms, lakehouse architectures, and analytics solutions.
- Build scalable data pipelines and optimize distributed query workloads.
- Tune performance across MPP databases, data warehouses, and analytics platforms.
- Collaborate with cross-functional teams to deliver reliable data solutions.
- Implement CI/CD, automation, governance, and operational best practices.
- Troubleshoot complex platform and performance issues.
Requirements
- 7+ years of experience in Data Engineering, Analytics Engineering, or Data Platforms.
- Strong SQL development and query optimization skills.
- Hands-on experience with Apache Doris, StarRocks, ClickHouse, or similar MPP platforms.
- Experience with Iceberg, Delta Lake, or Hudi.
- Experience with Snowflake, Apache Spark, Trino, or Presto.
- Knowledge of distributed data processing, lakehouse architectures, and performance tuning.
- Proficiency in Python, Java, or Scala.
- Experience with Git, CI/CD, and cloud object storage.
Nice to Have
- AWS, Azure, or GCP experience.
- Data warehouse migration projects.
- DevOps and infrastructure automation.
- Real-time analytics and streaming technologies.