Solutions Architect

USD 230,000-280,000 per year
MIDDLE
✅ Hybrid

Used Tools & Technologies

Not specified

Required Skills & Competences

Kafka @ 3 SQL @ 3 Kinesis @ 3 Communication @ 6 Data Engineering @ 3 Snowflake @ 1 Observability @ 3 AI @ 3 ClickHouse @ 3

Details

Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is a fast-growing private cloud company focused on real-time analytics, data warehousing, observability, and AI workloads. The Commercial Solutions Architect will own the technical side of the sales cycle for inbound, product-led, and self-serve accounts in the sub-250 employee segment, engaging with data engineers, platform teams, and technical founders to drive successful technical evaluations, POCs, and onboarding.

Responsibilities

  • Own the technical evaluation process for accounts in the sub-250 employee segment — from first technical conversation through POC, architecture sign-off, and successful onboarding.
  • Engage with data engineers, platform architects, and technical founders to understand use cases, data volumes, query patterns, and infrastructure requirements, and design ClickHouse solutions accordingly.
  • Troubleshoot schema design questions, ingestion patterns, and integration challenges during evaluations and unblock deals technically.
  • Build and deliver reference implementations, POCs, and architecture recommendations that demonstrate ClickHouse as a production-grade solution.
  • Partner closely with Commercial AEs to progress and close opportunities — you own the technical win, they own the commercial close.
  • Advocate for customer needs internally with Product and Engineering; contribute to technical playbooks, objection handling guides, and reusable POC assets.
  • Participate in developer community events, technical meetups, and online forums to build credibility as a practitioner.

Requirements

  • Deep technical foundation in data engineering or a closely related discipline (data engineer, software engineer, analytics engineer, or similar hands-on role).
  • Comfort with the modern data stack: columnar databases, streaming ingestion (Kafka, Kinesis), cloud infrastructure, and SQL-heavy analytics workflows.
  • Hands-on experience with ClickHouse, DuckDB, Druid, Pinot, BigQuery, Snowflake, or similar is a strong plus.
  • Some customer-facing experience — pre-sales, technical account management, solutions engineering, or customer-success capacity preferred.
  • Ability to drive short-cycle technical evaluations to conclusions and remove blockers that stall deals.
  • Strong written and verbal communication, able to simplify complex architectural concepts and write clearly for engineers.
  • Curiosity about the business side of technology and an ownership mentality to operate with autonomy and run evaluations independently.

Compensation

  • Typical starting salary in the United States: $200,000 - $250,000 USD.
  • Typical starting salary in US Premium Markets (e.g., San Francisco Bay Area): $230,000 - $280,000 USD.

Benefits

  • Flexible work environment — ClickHouse is globally distributed and remote-friendly.
  • Employer contributions towards healthcare.
  • Stock options for new team members.
  • Flexible time off in the US; generous entitlement in other countries.
  • $500 home office setup for remote employees.
  • Global company gatherings / offsites.

Equal Opportunity & Privacy

ClickHouse provides equal employment opportunities and prohibits discrimination and harassment. See the applicant privacy notice on their website for more details.