Related skills
bigquery snowflake kafka clickhouse kinesisπ Description
- Own the technical evaluation for sub-250 employee accounts from first convo to onboarding.
- Engage data engineers, platform architects, and founders to map use cases, data volumes, and infra needs.
- Troubleshoot schema design, ingestion patterns, and integration to unblock deals.
- Build and deliver reference implementations, POCs, and architecture recommendations.
- Partner with AEs to progress and close opportunities; you own the technical win.
- Advocate for customer needs with Product and Engineering β voice of the technical buyer.
π― Requirements
- Deep technical foundation in data engineering or related field.
- Hands-on with the modern data stack: columnar DBs, streaming, cloud infra, SQL analytics.
- Hands-on with ClickHouse, plus DuckDB/Druid/Pinot/BigQuery/Snowflake a plus.
- Some customer-facing experience in pre-sales or solutions engineering.
- Fast-paced; drive evaluations to conclusion and remove blockers.
- Strong written/verbal communication; simplify complex concepts.
- Ownership mentality; operate autonomously and make calls.
π Benefits
- Flexible, remote-friendly, globally distributed.
- Healthcare contributions toward coverage.
- Stock options for every new team member.
- Flexible time off; generous in other countries.
- $500 home office setup for remote employees.
- Global gatherings and company-wide offsites.
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