Big Data Engineer (Iceberg)

L3 - Senior Iceberg DBA / Lakehouse Operations Engineer


100% Remote


Must have : Iceberg DBA


Candidates with 12-month validity


Work location: Plano -TX -Remote work accepted from anywhere in US

Required: Admin skills with Iceberg, not development skills
• 10+ years of experience in Big Data / Data Engineering / DBA / Data Operations roles
• Minimum 2+ years of hands-on experience with Apache Iceberg in production environments
• 6+ years of experience working with Cloudera ecosystem (CDP Ecosystem)
• Strong expertise in:
o Iceberg table optimization (compaction, metadata management, partition evolution)
o Multi-engine performance tuning (Spark, Hive, Impala)
o Troubleshooting complex data and query performance issues
• Proven experience handling:
o P1/P2 production incidents
o Large-scale environments (TB/PB scale)
o Data migration initiatives (Hive/Teradata → Iceberg)
• Lead enforcement of data modeling and Lakehouse standards across applications
• Guide teams on:
o Medallion architecture implementation
o Balancing normalization vs performance
• Review and resolve complex data modeling and performance trade-offs
• Ensure consistency of data structures across domains and workloads
• Mentor and guide L2 resources in operational best practices and troubleshooting


Required Skills
• Strong hands-on experience with Apache Iceberg and/or Hive-based data lakes
• Understanding of data modeling concepts (normal forms) and modern Lakehouse patterns (Medallion architecture)
• Expertise in:
o Table-level optimization and performance tuning
o Large-scale data management (TB/PB scale)
• Experience with:
o Spark SQL, Hive, Impala, NiFI, Trino
• Strong understanding of:
o Partitioning strategies
o File formats (Parquet/ORC)
o Distributed query processing


Preferred Skills
• Experience with:
o Hive-to-Iceberg or Teradata-to-Iceberg migration
o Cloudera CDP (CDE/CDW)
• Familiarity with:
o Cloud platforms (AWS, Azure)
• Scripting/automation (Python, Shell)