Druid DBA

1. Cluster Architecture & Administration

Architect, deploy, configure, and administer multi-node, multi-tiered Apache Druid clusters

across Coordinator, Overlord, Broker, Router, Historical, and Middle Manager/ 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, G1garbage 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).

1. 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, segment Granularity,

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.

1. 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.

Analyse 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., Hyper Loglog, Theta Sketches, Quantiles) where appropriate to balance query execution speed with precision.

1. 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, 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.

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, 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., * 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 Kubernetes.

Generic Managerial Skills:

Crisis Management Staying calm during a massive network outage to direct the IT NOC team effectively.

Stakeholder Mgmt. Explaining to non-technical C-level why a Druid Migration is necessary