Data Platform Engineer

About the role

You will design, build, optimize, and support modern analytics platforms and lakehouse solutions. You will play a key role in developing scalable data pipelines, optimizing distributed query workloads, and supporting enterprise analytics platforms across a high-performance data ecosystem.

Key responsibilities

• Design, develop, and optimize enterprise data platforms and analytics solutions
• Build and maintain scalable data pipelines and lakehouse architectures
• Support and optimize MPP query engines, data warehouses, and distributed processing environments
• Drive performance tuning, platform modernization, and workload optimization initiatives
• Collaborate with architects, analysts, and engineering teams to deliver reliable and scalable data solutions
• Support platform automation, CI/CD, governance, and operational best practices
• Troubleshoot complex data platform issues and ensure operational excellence

About you

• Bachelor's Degree in Computer Science, Information Technology, Data Engineering, or a related discipline
• 7-8+ years of experience in Data Engineering, Analytics Engineering, Data Platforms, or Big Data ecosystems
• Experience working in enterprise-scale analytics and data environments
• Strong analytical, problem-solving, and stakeholder management skills
• Hands-on experience with Apache Doris (or similar MPP platforms such as StarRocks, ClickHouse, or Greenplum)
• Advanced SQL development and query optimization skills
• Strong understanding of Apache Doris architecture, data models, partitioning, and performance tuning
• Experience with Apache Iceberg, Delta Lake, or Apache Hudi
• Experience with Snowflake and/or Apache Spark
• Hands-on experience with Trino, PrestoSQL, or Presto