ClickHouse Solutions Architect

We are looking for an experienced ClickHouse Solutions Architect to support the design and implementation of a greenfield, enterprise-scale observability platform for a global banking client.

This is a genuine greenfield engagement with significant scale and complexity. You will take a leading role in defining the ClickHouse architecture from first principles, before helping prove and implement the solution.

The environment

The platform will provide a central repository for logs, metrics and traces, with requirements including:

• Sustained ingestion of approximately 3 million events per second
• Around 1,000 concurrent users and hundreds of Real Time dashboards
• Hundreds of application tenants requiring workload isolation, throttling and quotas
• OpenTelemetry-native architecture
• High-volume hot storage with longer-term object storage tiering
• Enterprise-grade resilience, security, DR and governance

This is not simply a Data Architect role where ClickHouse is one technology amongst many. We need someone with deep, hands-on experience designing and operating ClickHouse at significant production scale.

Ideally you will have experience across:

• Distributed ClickHouse architecture, including cluster topology, sharding and replication
• MergeTree engines, partitioning, primary/sort keys, projections and materialized views
• High-throughput streaming ingestion, ideally using Kafka and/or ClickPipes
• Query optimisation and performance benchmarking
• Large-scale observability or time-series workloads
• OpenTelemetry, particularly logs, metrics and traces
• Multi-tenancy, workload isolation, quotas and resource management
• Object storage and hot/cold data tiering
• Kubernetes, infrastructure-as-code and CI/CD
• Sizing, capacity planning and cost modelling

You should be comfortable operating as both an architect and hands-on technical authority - working directly with client stakeholders, making architectural decisions, building a reference environment and validating the design through real-world performance testing.