Key Responsibilities :

- Manage and administer ClickHouse environments for analytics, dashboards, reporting, and large-scale query workloads.

- Manage Elasticsearch clusters for search, indexing, application search, logs, and analytical search workloads.

- Manage Kafka platform operations including topics, partitions, retention, consumer lag, brokers, replication, and cluster health.

- Monitor query performance, ingestion delay, storage growth, failed jobs, data freshness, Kafka lag, index growth, and cluster capacity.

- Tune ClickHouse tables, partitions, ordering keys, materialized views, projections, compression, memory usage, and query performance.

- Tune Elasticsearch indexes, mappings, shards, replicas, lifecycle policies, heap usage, query latency, and indexing performance.

- Manage Kafka topic design, retention policy, replay strategy, consumer group monitoring, and broker-level performance.

- Support ETL/ELT, CDC, Kafka Connect, Airflow, Debezium, and data pipeline operations.

- Troubleshoot production issues related to slow dashboards, query failures, ingestion delays, Kafka lag, Elasticsearch latency, and ClickHouse memory/storage issues.

- Define backup, restore, replication, retention, archival, and DR processes for analytical platforms.

- Work with data engineering, BI, application, infrastructure, and security teams for platform reliability.

- Create operational dashboards, alerts, SOPs, capacity plans, and platform runbooks.

Required Skills:

- Strong experience with analytical or data platform administration.

- Hands-on experience with ClickHouse or similar OLAP databases.

- Good experience with Elasticsearch administration, indexing, search performance, and cluster management.

- Good understanding of Kafka operations, topics, partitions, retention, brokers, consumer lag, and replay.

- Strong knowledge of Linux, storage, memory, networking, monitoring, alerting, and production troubleshooting.

- Experience with Airflow, Debezium, Kafka Connect, Grafana, Prometheus, CloudWatch, Superset, Tableau, or Power BI is preferred.

Experience :

- 8 to 10 years of experience in DBA, data platform operations, data engineering operations, or analytics platform support.

- Strong production experience in large-volume analytical workloads, reporting platforms, streaming platforms, or search platforms.