Solutions Architect

🔥 24 minutes ago

🇲🇽 Mexico – Remote

⏰ Full Time

🟡 Mid-level

🟠 Senior

💻 Solutions Engineer

👻 Ghost score 15%

What it means: the chance that no one is really hiring for this job.How to read it: 60% or higher means we think this is a ghost. Lower scores are less of a worry.How we score it: age, reposts, open roles vs team size, how fast jobs close, and whether pay is listed.Fine print: an estimate from public data, not a judgment of the company. Real jobs can score high, so treat it as a hint, not a fact.

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ClickHouse

WebsiteLinkedInAll Job Openings

501 - 1000 employees

Founded 2021

☁️ SaaS

🏢 Enterprise

🤖 Artificial Intelligence

🔥 Funding within the last year

💰 $400M Series D on 2026-01

SaaS • Enterprise • Artificial Intelligence

ClickHouse is an open-source, column-oriented OLAP database and real-time data warehouse that delivers extremely fast, resource-efficient analytics at petabyte scale. ClickHouse offers both self-managed open-source software and managed cloud services (ClickHouse Cloud available on AWS, GCP, Azure), as well as complementary products like ClickHouse Managed Postgres, ClickStack (an open-source observability stack), Langfuse for LLM observability, Agentic Data Stack for AI applications, and chDB in-process SQL engine. It targets use cases such as real-time analytics, observability, data warehousing, machine learning and GenAI, and provides integrations with BI tools, data ingestion, and language clients. ClickHouse is used by enterprises across industries (e. g. , financial services, cybersecurity, e-commerce, gaming, automotive) and emphasizes performance, cost-efficiency, developer-friendliness, and open-source community adoption.

📋 Description

• Serve as the primary technical partner and advisor for prospects and customers evaluating or scaling ClickHouse • Work with Sales throughout the full lifecycle, from qualifying technical requirements through production deployment at scale • Design reference architectures, data models, and ingestion/query patterns tailored to customer use cases, scale, and existing data stacks • Own and run technical proofs of concept and benchmarks • Demonstrate ClickHouse performance, scalability, and cost advantages against incumbent solutions • Partner with Account Executives on technical account strategy, procurement and security reviews, and complex deal closure • Deliver technical presentations, demos, and workshops to engineers and VP/C-level stakeholders • Advise customers on schema design, query optimization, cluster sizing, replication, and database migration strategies • Provide structured customer feedback to product and engineering teams on gaps, feature requests, and competitive positioning • Build reusable assets, demos, blog posts, reference architectures, and sample applications • Contribute to team best practices, tooling, and onboarding materials

🎯 Requirements

• Experience in a customer-facing technical role such as Solutions Architect, Sales Engineer, Data Engineer, or Technical Consultant • Experience ideally at an infrastructure, database, or analytics company • Deep hands-on experience with SQL and analytical/OLAP databases such as ClickHouse, Snowflake, BigQuery, Druid, Vertica, or Redshift • Strong understanding of distributed systems fundamentals, including partitioning, replication, consistency trade-offs, and query execution at scale • Comfort working with streaming systems such as Kafka, orchestration tools, BI tools, and cloud infrastructure such as AWS, GCP, or Azure • Track record of influencing buying decisions through technical evaluations against competitive alternatives • Excellent communication skills for working with engineers and presenting to executives • Self-starter comfortable with ambiguity and hands-on technology work tied to revenue outcomes • Willingness to travel periodically for customer visits, conferences, and team events • Direct experience deploying or administering ClickHouse in production is a nice-to-have • Experience with real-time analytics, observability, or large-scale event/log data use cases is a nice-to-have • Contributions to open-source data infrastructure projects are a nice-to-have • Prior experience at an early-stage or hypergrowth startup is a nice-to-have

🏖️ Benefits

• Competitive compensation • Equity in the company; every new team member receives stock options • Employer contributions towards healthcare • Flexible time off in the US • Generous time-off entitlement in other countries • USD$500 home office setup allowance for remote employees • Opportunities to engage with colleagues at company-wide offsites • Flexible work environment • Remote-friendly, distributed culture

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