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Engineering Manager - China
Исключительная возможность для лидера в сфере Big Data: работа в компании из списка Forbes Cloud 100 с огромным ростом. Предлагаются опционы, гибкий график и работа над передовыми технологиями (AI, OLAP) в глобальном масштабе.
Сложность вакансии
Высокая сложность обусловлена необходимостью глубоких знаний внутренних механизмов БД, опыта работы с PB-масштабами данных и свободного владения двумя языками. Роль требует сочетания сильных управленческих навыков (команда 10+) и глубокой технической экспертизы в облачных технологиях.
Анализ зарплаты
Зарплата в объявлении не указана, но для позиции Engineering Manager в международной компании уровня ClickHouse в Китае (Remote) рыночные показатели значительно выше средних по локальному рынку. Ожидаемый доход включает существенную долю в виде опционов (Equity).
Сопроводительное письмо
I am writing to express my strong interest in the Engineering Manager position for ClickHouse in China. With over 8 years of experience in database technologies and a proven track record of leading high-performing engineering teams, I am excited about the opportunity to drive the partnership with Alibaba Cloud and lead enterprise POCs for PB-scale architectures.
In my previous roles, I have successfully managed technical teams of 10+ engineers and delivered mission-critical data platforms. My deep expertise in database internals, query optimization, and cloud-native architectures aligns perfectly with ClickHouse's mission to transform how companies use data. I am particularly drawn to ClickHouse's innovative culture and its rapid growth in the real-time analytics market.
I am a fluent speaker of both English and Mandarin, which allows me to bridge the gap between global engineering teams and local Chinese customers effectively. I am eager to bring my 'founder's mindset' and technical leadership to ClickHouse to help scale your presence in the region and foster a culture of technical excellence.
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Описание вакансии
About ClickHouse
Recognized on the 2025 Forbes Cloud 100 list, ClickHouse is one of the most innovative and fast-growing private cloud companies. With more than 3,000 customers and ARR that has grown over 250 percent year over year, ClickHouse leads the market in real-time analytics, data warehousing, observability, and AI workloads.
The company’s sustained, accelerating momentum was recently validated by a $400M Series D financing round. Over the past three months, customers including Capital One, Lovable, Decagon, Polymarket, and Airwallex have adopted the platform or expanded existing deployments. These customers join an established base of AI innovators and global brands such as Meta, Cursor, Sony, and Tesla.
We’re on a mission to transform how companies use data. Come be a part of our journey!
ClickHouse is seeking an engineering manager to lead our team of software engineers based in China who own our partnership with Alibaba Cloud.
Key Responsibilities
- Build and lead a high-performing technical team in China, fostering a culture of technical excellence and customer obsession
- Support Alibaba Cloud & ClickHouse partnership with deep technical expertise, driving integration, optimization, and go-to-market strategies
- Lead enterprise customer POCs from architecture design to production deployment, translating business requirements into scalable technical solutions
- Design PB-scale real-time data warehouse architectures, leveraging ClickHouse's exceptional performance for mission-critical workloads
- Partner with global Sales, Product, and Engineering teams, representing customer needs and driving product innovation
- Represent ClickHouse at technical conferences, meetups, and community events in China
Required Qualifications
- Fluent English and Mandarin for seamless technical discussions with global teams and Chinese customers
- Outstanding customer-facing communication skills with the ability to build trusted relationships at all organizational levels
- Deep database expertise - internals, query optimization, distributed systems, OLAP technologies
- Strong architecture design capabilities for large-scale, mission-critical data platforms
- PB-scale real-time data warehouse hands-on experience building and operating production systems
- Cloud-Native proficiency - solid experience with cloud-native architecture and infrastructure, with hands-on knowledge of at least one major cloud service provider (AWS, GCP, Azure, Alibaba Cloud)
- Team leadership experience managing technical teams of 10+ engineers
- 8+ years in database/data warehouse/big data technologies
- High level of responsibility, ownership, and accountability - thrives in a high-velocity environment with significant autonomy
- Founder's mindset with a focus on impact, innovation, and delivering measurable results
Preferred Qualifications
- ClickHouse community contributor - active participation through code, documentation, or advocacy
- Experience with columnar databases (ClickHouse, Druid, Pinot) and real-time analytics systems
- Kubernetes expertise - practical experience deploying and managing stateful applications on K8s at scale
- Data engineering skills - strong background in ETL pipelines, data replication, CDC, and streaming platforms (Kafka, Flink, Spark)
- Technical writing/speaking experience - blogs, conference presentations, technical documentation
- Open-source contributions in the database or cloud-native ecosystem
- Exceptional problem-solving skills with proven experience debugging complex production issues
Compensation
For roles based in the United States, the typical starting salary range for this position is listed above. In certain locations, such as the San Francisco Bay Area and the New York City Metro Area, a premium market range may apply, as listed.
These salary ranges reflect what we reasonably and in good faith believe to be the minimum and maximum pay for this role at the time of posting. The actual compensation may be higher or lower than the amounts listed, and the ranges may be subject to future adjustments.
An individual’s placement within the range will depend on various factors, including (but not limited to) education, qualifications, certifications, experience, skills, location, performance, and the needs of the business or organization.
If you have any questions or comments about compensation as a candidate, please get in touch with us at paytransparency@clickhouse.com.
Perks
- Flexible work environment - ClickHouse is a globally distributed company and remote-friendly. We currently operate in 20 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 $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 our first 500 employees, 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 ourblog 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.
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Навыки
- English
- Kubernetes
- Kafka
- Distributed Systems
- Spark
- Flink
- ETL
- Cloud Native Architecture
- ClickHouse
- Mandarin
- OLAP
- Database Internals
- Alibaba Cloud
Возможные вопросы на собеседовании
Проверка технической глубины в области OLAP и специфики ClickHouse.
Расскажите о вашем опыте оптимизации запросов в ClickHouse или аналогичных колоночных БД на петабайтных объемах данных. С какими узкими местами вы сталкивались?
Оценка лидерских качеств и опыта управления распределенными или локальными командами в высоконагруженной среде.
Как вы подходите к формированию культуры технического совершенства в команде из 10+ инженеров, работая в условиях высокой скорости стартапа?
Проверка способности управлять стратегическим партнерством с крупными облачными провайдерами.
Опишите ваш опыт взаимодействия с облачными провайдерами (например, Alibaba Cloud). Как бы вы выстраивали техническую интеграцию продукта в их экосистему?
Оценка навыков архитектурного проектирования и работы с клиентами.
Как вы переводите сложные бизнес-требования корпоративных клиентов в масштабируемую архитектуру real-time хранилища данных во время POC?
Проверка коммуникативных навыков и умения работать в глобальной компании.
Приведите пример ситуации, когда вам приходилось разрешать технический конфликт между глобальной продуктовой командой и специфическими требованиями локального рынка Китая.
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