• Manage and scale ClickHouse clusters (replication, sharding, distributed tables) to 100s of TBs. • Maintain data consistency across replicas and shards. • Profile and optimize heavy ETL/ELT queries and table engines. • Tune key configs (max_threads, max_memory_usage, merge settings, I/O schedulers). • Benchmark cluster performance (ingest throughput, query latency, merge rate). • Proactively work with engineers to optimize schema and query patterns. • Improve observability stack on DataDog. • Set up alerting on query performance, merges, replicas, and disk usage. • Own backup and restore processes (to secondary cluster and S3). • Plan and execute upgrades with zero or minimal downtime. • Test and document disaster recovery scenarios. • Own security within ClickHouse, including access control, encryption where applicable, and adherence to internal and regulatory data protection requirements. • Resolve production issues and figure ways to prevent them. • Participate in the Architecture Review process to ensure major changes to the product portfolio have data flow and ClickHouse considerations represented at the very start.