Dataops Engineer (Lakehouse / Big Data)
Job Description
JOB Role: Senior Iceberg DBA / Lakehouse Operations Engineer/Senior Data Platform Engineer (Lakehouse)/Lead DataOps Engineer (Lakehouse / Big Data)
Work location: Remote work accepted from anywhere in US
MIN Years EXP: 13+ YEARS
WORK VISA: H1B,USU
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:
Iceberg table optimization (compaction, metadata management, partition evolution)
Multi-engine performance tuning (Spark, Hive, Impala)
Troubleshooting complex data and query performance issues
Proven experience handling:
P1/P2 production incidents
Large-scale environments (TB/PB scale)
Data migration initiatives (Hive/Teradata → Iceberg)
Lead enforcement of data modeling and Lakehouse standards across applications
Guide teams on:
Medallion architecture implementation
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
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