Solutions Architect

TL;DR

Solutions Architect: serving as the primary technical partner for prospects and customers, from qualifying technical requirements to designing and proving out architectures and guiding deployments to production at scale with an accent on distributed systems, SQL/OLAP performance, and technical evaluations. Focus on building reference architectures and data models, running proofs of concept and benchmarks, and translating ClickHouse capabilities into solutions that win complex deals.

Location: Colombia or Argentina

Company

ClickHouse is a fast-growing cloud company focused on real-time analytics, data warehousing, observability, and AI workloads.

What you will do

• Act as the technical advisor for prospects and customers evaluating or scaling ClickHouse, from discovery through production deployment.
• Design reference architectures, data models, and ingestion/query patterns tailored to each customer’s use case, scale, and existing data stack.
• Own and run technical proofs of concept and benchmarks to demonstrate performance, scalability, and cost advantages versus incumbent solutions.
• Partner with Account Executives on technical account strategy, procurement/security reviews, and closing complex deals.
• Deliver technical presentations, demos, and workshops for engineers through VP/C-level stakeholders.
• Advise on schema design, query optimization, cluster sizing, replication, and migration strategy from other databases (e.g., Postgres, Elasticsearch, Snowflake, Druid, Spark).

Requirements

• Experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Data Engineer, or Technical Consultant (ideally at an infrastructure, database, or analytics company).
• Deep hands-on experience with SQL and analytical/OLAP databases (ClickHouse, Snowflake, BigQuery, Druid, Vertica, Redshift, or similar); ClickHouse experience is a strong plus.
• Strong understanding of distributed systems fundamentals: partitioning, replication, consistency trade-offs, and query execution at scale.
• Comfort working across the modern data stack, including streaming systems (Kafka), orchestration tools, BI tools, and cloud infrastructure (AWS, GCP, or Azure).
• Ability to run and win technical evaluations against competitive alternatives, influencing buying decisions.
• Willingness to travel periodically for customer visits, conferences, and team events.

Nice to have

• Direct experience deploying or administering ClickHouse in production.
• Experience with real-time analytics, observability, or large-scale event/log data use cases.
• Contributions to open-source data infrastructure projects.
• Prior experience at an early-stage or hypergrowth startup.

Culture & Benefits

• Flexible, remote-friendly environment with a globally distributed team.
• Healthcare with employer contributions.
• Equity via stock options for new team members.
• Flexible time off in the US and generous entitlement in other countries.
• $500 home office setup for remote employees.
• Opportunities for global in-person gatherings and company-wide offsites.