Druid DBA

Senior Apache Druid Database Administrator (DBA)Must Have Technical/Functional Skills Total Experience: 10 to 15+ years of experience in Database Administration, Big Data Engineering, or Systems Infrastructure. Apache Druid Expertise: Minimum of 5+ years of dedicated, hands-on production experience managing, troubleshooting, and tuning multi-tier Apache Druid clusters. Database & Metadata Knowledge: Expert proficiency in SQL, PL/SQL, query optimization, and administering relational databases (MySQL, Oracle, PostgreSQL) serving as Druid metadata stores. Streaming & Messaging: Hands-on experience integrating Druid with real-time streaming platforms (Apache Kafka, Amazon Kinesis, Pulsar). Distributed Systems & Storage: Solid knowledge of HDFS, AWS S3, or Blob Storage for Deep Storage management. OS & JVM Mastery: Deep understanding of Linux OS kernel settings, networking, JVM direct memory allocation, and GC optimization.

Automation & DevOps: Proficiency with Linux/Bash scripting, Python, Ansible playbooks, Terraform, and CI/CD tools (Jenkins, GitLab).Roles & Responsibilities We are seeking a Senior Apache Druid Database Administrator (DBA) with extensive hands-on experience in managing, optimizing, and scaling production-grade Apache Druid clusters. In this role, you will be responsible for maintaining high availability, optimizing sub-second OLAP query performance, managing streaming and batch data ingestion pipelines, and ensuring seamless platform operations across petabyte-scale datasets. The ideal candidate will possess a deep background in distributed systems, advanced database administration, JVM tuning, and real-time event processing. You will work closely with network architects, infrastructure teams, and analytics engineers to ensure robust data reliability, capacity planning, and zero-downtime operations.Key ResponsibilitiesCluster Architecture & Administration Architect, deploy, configure, and administer multi-node, multi-tiered Apache Druid clusters across Coordinator, Overlord, Broker, Router, Historical, and MiddleManager/Indexer node roles. Execute zero-downtime rolling upgrades, patch management, and capacity sizing for multi- tier Historical storage pools and worker parallelism. Perform deep JVM tuning across all Druid service roles, including heap allocation, direct memory buffers, G1GC garbage collection parameters, and off-heap memory settings.

Maintain cluster metadata stores (MySQL / PostgreSQL) and optimize deep storage interfaces (AWS S3, HDFS, or Azure ADLS Gen2).Ingestion & Pipeline Engineering Manage and troubleshoot real-time streaming ingestion specs via Apache Kafka Supervisor services and Apache Flink/Spark integration. Design and execute batch ingestion specifications using Hadoop-based or native SQL index tasks for historical network datasets (e.g., CDR, IPDR, and telemetry logs). Fine-tune ingestion parameters including taskCount, replicas, segmentGranularity, queryGranularity, and maxRowsPerSegment to ensure sub-5 second end-to-end ingestion latency. Implement dead-letter queue (DLQ) handling, schema evolution management, and schema- validation enforcement.Segment Lifecycle & Performance Tuning Design automatic compaction strategies, defining target segment size thresholds and skip offsets to eliminate segment fragmentation. Define data retention rules, load/drop policies, and tier assignment rules between Hot and Cold Historical tiers to optimize storage costs against performance SLAs. Analyze slow query profiles via Broker access logs to tune dimension/metric cardinality, bitmap indexing, time-based partitioning, and rollup strategies.

Apply approximate algorithms (e.g., HyperLogLog, Theta Sketches, Quantiles) where appropriate to balance query execution speed with precision.Operations, Observability & Security Build operational dashboards and alerts using Prometheus, Grafana, and Splunk/CloudWatch to track key cluster metrics (ingestion lag, segment count, cache hit ratios, GC pauses, memory pressure). Enforce security protocols including Kerberos authentication, TLS/SSL encryption in transit and at rest, Role-Based Access Control (RBAC), and Apache Ranger integration. Lead incident response, root cause analysis (RCA), and disaster recovery (DR) drills, maintaining runbooks for automated recovery and zero-loss operations.- Education: Bachelor's or Master's degree in Electrical Engineering, Telecommunications, Computer Science, or related field.- Experience: 12+ years of experience in mobile network applications, with at least 3 years in an architectural and KubernetesSalary Range: $110,000-$125,000 a yearLocation: Tampa, FL