Solutions Architect - Pacific Northwest
New
C
ClickHouseData Infrastructure
Pacific NorthwestFull-TimeSenior
Salary$230,000 — $280,000 USD (US Premium Markets: $250,000 — $300,000 USD)
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Job Details
- Required Skills
- AWSGCPKafkaAzureData engineeringDistributed Systems
Requirements
- Deep technical foundation in data infrastructure (data engineer, platform engineer, software engineer, DBA, or solutions architect).
- Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and operating them.
- Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution.
- Fluency across the modern data stack: Kafka, CDC pipelines, orchestration, object storage, BI tools, and major cloud (AWS, GCP, Azure).
- Experience running a technical evaluation against a competitor and winning it.
- Customer-facing experience with real stakes: pre-sales, consulting, technical account management, or staff-level engineering.
- Strong written and verbal communication, including whiteboarding and executive presentation skills.
- Comfort with long enterprise sales cycles and stakeholder management.
- Willingness to act as a technical consultant who can advise when ClickHouse is or is not the right tool for a workload.
Responsibilities
- Own the technical evaluation for enterprise accounts — from discovery through POC or competitive bake-off, architecture sign-off, security review, and first production workload.
- Engage across a wider set of stakeholders than a single team: data platform engineers, architects, SRE, security, and the executive who owns the standard.
- Design for production scale — sizing, sharding and replication strategy, ingestion topology, tiered storage, cost modeling, and what happens when something fails at 3am.
- Win competitive displacements against Elasticsearch, Splunk, Snowflake, BigQuery, Druid, Pinot, and homegrown systems, using benchmarks the customer's own team can reproduce.
- Own the migration plan — sequencing, dual-run, validation, and cutover — so the customer's team can see exactly how they get to production.
- Clear the security and procurement path: questionnaires, compliance artifacts, network and identity architecture, and BYOC or private deployment requirements.
- Partner closely with Enterprise 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 reference architectures, benchmark harnesses, migration guides, and objection handling material.
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