Solutions Architect
New
C
ClickHouseData Analytics
Colombia or ArgentinaFull-TimeMiddle
Salary not disclosed
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Job Details
- Required Skills
- AWSSQLGCPKafkaSnowflakeAzureClickhouseBigQueryDistributed Systems
Requirements
- Experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Data Engineer, or Technical Consultant.
- Deep hands-on experience with SQL and analytical/OLAP databases (e.g., ClickHouse, Snowflake, BigQuery, Druid, Vertica, Redshift).
- 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.
- Excellent communication skills, capable of whiteboarding with engineers and presenting business value to executives.
- Self-starter who thrives with ambiguity.
- Willingness to travel periodically for customer visits, conferences, and team events.
Responsibilities
- 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, demonstrating ClickHouse's performance, scalability, and cost advantages against incumbent solutions.
- Partner closely with Account Executives to build technical account strategy, navigate procurement/security reviews, and close complex deals.
- Deliver compelling technical presentations, demos, and workshops to audiences ranging from individual engineers to VP/C-level stakeholders.
- Advise customers on schema design, query optimization, cluster sizing, replication, and migration strategy from other databases.
- Serve as the voice of the customer internally, feeding product and engineering teams structured feedback on gaps, feature requests, and competitive positioning.
- Build reusable assets, demos, and technical content that scale your impact across the field team.
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