Enterprise Solutions Architect-Greater China Region
ClickHouse is hiring an Enterprise Solutions Architect-Greater China Region for a remote role open to applicants in Singapore. Level rates it ; you can apply on ClickHouse.
Level's read on this job
- On Level's scale, this solutions architect role is Little AI ●○○○: aI is not part of the work.
- This is listed as a remote role.
- The posting mentions Elasticsearch, Splunk and Snowflake among its tools and skills.
- Level classes it as a senior role.
- ClickHouse has 206 other open roles on Level.
AI in this role
Enterprise Solutions Architect to lead technical sales and architecture design for database platforms in Greater China.
The Role
As an Enterprise Solutions Architect at ClickHouse, you'll own the technical side of the sales cycle for enterprise accounts across Greater China. You'll engage with data platform engineers, architects, SRE, and the VP who owns the standard — and your job is to design something that satisfies all of them and then prove it at production scale.
This is a role for engineers who want the hard version of the problem: real scale, real constraints, and an incumbent to displace. Prior pre-sales experience helps but isn't required — technical depth is non-negotiable.
What You Will Be Doing
Own the technical evaluation for enterprise accounts across Greater China — 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 solutions that hold up with all of them in the room.
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, data residency requirements, 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. Build the TCO case against the incumbent/competition together.
Advocate for customer needs internally with Product and Engineering — you're the voice of the technical buyer inside ClickHouse.
Contribute reference architectures, benchmark harnesses, migration guides, and objection handling material that help the team scale what's working.
What You Bring
Professional fluency in Mandarin and English, written and verbal. You can run a deep technical workshop in Mandarin and represent the same architecture to a global internal audience in English.
Deep technical foundation in data infrastructure — built through experience as a data engineer, platform engineer, software engineer, DBA, or solutions architect.
Production experience with analytical databases (ClickHouse, Snowflake, BigQuery, Redshift, Druid, Pinot, Vertica) and with operating them, not just querying them.
Distributed systems judgment: partitioning, replication, consistency trade-offs, query execution, and a felt sense for where things break under load.
Fluency across the modern data stack — Kafka and CDC pipelines, orchestration, object storage, BI tools, and at least one major cloud (AWS, GCP, Azure, Alibaba Cloud, Tencent Cloud) at architecture level.
Experience running a technical evaluation against a named competitor and winning it, including designing the migration off the incumbent and the parts of it that are genuinely hard.
Customer-facing experience with real stakes — pre-sales, consulting, technical account management, or a staff-level engineering role that put you in front of customers.
Strong written and verbal communication. You can whiteboard with a staff engineer in the morning and present to a VP of Engineering in the afternoon.
Comfort with longer cycles and more stakeholders. Enterprise evaluations don't close in three weeks, and you know how to keep one moving without letting it stall.
Willingness to say ClickHouse isn't the right tool for a given workload when that's true.
Bonus Points for:
Experience selling or supporting technical sales into the Greater China market
Familiarity with the local cloud and data ecosystem (Alibaba Cloud, Tencent Cloud, Huawei Cloud) and how enterprises there build around it.
Open source community experience, including engaging developer and engineering audiences in the region.
Experience effectively working remotely in a global, distributed organization..
#LI-VR1
Perks
Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in over 25 countries.
Healthcare - Employer contributions towards your healthcare.
Equity in the company - Every new team member who joins our company receives stock options.
Time off - Flexible time off in the US, generous entitlement in other countries.
A USD$500 Home office setup if you’re a remote employee.
Global Gatherings – We believe in the power of in-person connection and offer opportunities to engage with colleagues at company-wide offsites.
Culture - We All Shape It
As part of a rapidly scaling start-up, you will be instrumental in shaping our culture.
Are you interested in finding out more about our culture? Learn more about our values here. Check out our blog posts or follow us on LinkedIn to find out more about what’s happening at ClickHouse.
Equal Opportunity & Privacy
ClickHouse provides equal employment opportunities to all employees and applicants and prohibits discrimination and harassment of any type based on factors such as race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws.
Please see here for our Privacy Statement.
How we rate this
Enterprise Solutions Architect-Greater China Region at ClickHouse rates 10 out of 100 for how much of the daily work is AI. That makes it Little AI (AI Level 1 of 4). The level is about AI in the job, not seniority.
Little AI. AI is not part of the work.
- ●●●● Builds AI80 to 100
- ●●●○ Works on AI60 to 79
- ●●○○ Uses AI40 to 59
- ●○○○ Little AI0 to 39
Levels come from how often the tools, models and workflows of the role are named in the posting itself. Read the description and count the AI tools, models and workflows it names.
Prepare for this job
Built from this posting and from similar jobs on Level.
Skills and AI tools this role asks for
Also common in solutions architect jobs at this level
Pay
- Typical solutions architect job
- $169k
This posting doesn't list pay. Use the typical solutions architect figure when pay comes up. See solutions architect jobs
Questions you could be asked
- Tell me about a project where solutions architecture was part of your work. What did you do?
- Tell me about a project where pre sales was part of your work. What did you do?
- Tell me about a project where data infrastructure was part of your work. What did you do?
- Tell me about a project where distributed systems was part of your work. What did you do?
- Walk me through how you've used Elasticsearch in your day-to-day work.
Adapt your resume
- List these exact terms on your resume: Solutions Architecture, Pre Sales, Data Infrastructure, Distributed Systems, and Elasticsearch. An applicant tracking system matches the wording, not the idea.
- Attach one line of real, concrete experience to at least one of them. A tool named with nothing behind it rarely survives a human read.
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