Iceberg DBA / Lakehouse Operations Engineer

Integrated Technology Strategies, Inc.

United States

Remote

USD 120,000 - 180,000

Full time

14 days+
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Job summary

Integrated Technology Strategies, Inc. seeks Iceberg DBA / Lakehouse Operations Engineers to support an enterprise-scale Lakehouse platform and large-scale data modernization initiatives.

This remote role focuses on Iceberg table operations, performance tuning, metadata management, production support, and multi-engine query optimization across Hive/Teradata to Iceberg migrations. Candidates should bring hands-on Iceberg experience and a track record in TB/PB-scale environments.

Qualifications

  • 10+ years in big data, data engineering, DBA or data operations.
  • 2+ years hands-on Apache Iceberg production experience.
  • 6+ years Cloudera/CDP experience with Iceberg migrations.

Responsibilities

  • Manage and optimize Iceberg tables at enterprise TB/PB scale.
  • Perform data compaction, metadata cleanup and orphan file cleanup.
  • Tune partitions, file sizes, clustering and query performance.
  • Provide L2/L3 on-call production support and RCA.
  • Support enterprise data modernization and migration initiatives.
  • Ensure data reliability, security, and governance.

Skills

Apache Iceberg
Big Data
Spark
Hive
Impala
Cloudera/CDP
Data modeling
Medallion Architecture
TB/PB-scale data
Production incident support
Migrations

Tools

NiFi
Trino
Python
Shell scripting
Parquet/ORC

Job description

Job Title:

Iceberg DBA / Lakehouse Operations Engineer

Location:

Remote

Duration:

Long-Term

Openings:

5

  • L3 Senior Iceberg DBA: 2 positions
  • L2 Iceberg DBA: 3 positions
Job Summary:

Seeking Iceberg DBA / Lakehouse Operations Engineers to support an enterprise-scale Lakehouse platform and large-scale data modernization initiatives (Hive/Teradata → Apache Iceberg). The role focuses on Iceberg table operations, performance tuning, metadata management, production support, and multi-engine query optimization.

Required Skills -- L3 Senior:
  • 10 years Big Data/Data Engineering/DBA/Data Operations
  • 2 years hands-on Apache Iceberg production experience
  • 6 years Cloudera/CDP experience
  • Expert knowledge of Iceberg table optimization, compaction, metadata management, and partition evolution
  • Strong Spark, Hive, Impala performance tuning
  • Experience with TB/PB-scale data environments
  • P1/P2 production incident support and RCA
  • Experience with Hive/Teradata → Iceberg migrations
  • Data modeling and Medallion Architecture experience
Required Skills -- L2:
  • 4--6 years Big Data/Data Operations/DBA experience
  • 1 year Apache Iceberg or similar technologies (Hive/Delta/Hudi)
  • 4 years Cloudera/CDP
  • Hands-on Iceberg table operations and maintenance
  • Experience with Spark SQL, Hive, or Impala
  • Production support, monitoring, and troubleshooting
  • Understanding of partitioning, Parquet/ORC, and distributed query processing
  • Knowledge of Bronze/Silver/Gold Lakehouse architecture
Preferred Skills:
  • Hive/Teradata to Iceberg migration
  • Cloudera CDP -- CDE/CDW
  • AWS/Azure cloud experience
  • Python/Shell scripting
  • NiFi and/or Trino
  • Data quality, governance, validation, and reconciliation
  • Ranger/RBAC security
Key Responsibilities:
  • Manage and optimize Iceberg tables at enterprise TB/PB scale.
  • Perform compaction, snapshot expiration, metadata cleanup, and orphan file cleanup.
  • Optimize partitioning, file sizes, clustering, and query performance.
  • Support Spark, Hive, and Impala workloads.
  • Troubleshoot production issues and participate in L2/L3 on-call support.
  • Handle P1/P2 incidents, RCA, and preventive actions.
  • Support enterprise data modernization and migration initiatives.
  • Maintain data reliability, consistency, security, and governance.
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