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SeniorУдалённоПолная занятость

Senior Consulting Engineer - LATAM

Оценка ИИ

Отличная вакансия в компании-лидере рынка с высокой капитализацией и быстрым ростом. Предлагает удаленную работу, опционы и возможность работать с передовыми технологиями обработки данных.


Вакансия из Quick Offer Global, списка международных компаний
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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Высокая сложность обусловлена необходимостью глубоких знаний во внутренних механизмах СУБД, OLAP-системах и распределенных вычислениях. Роль требует совмещения навыков инженера, архитектора и консультанта, а также готовности к командировкам до 35%.

Анализ зарплаты

Медиана105 000 $
Рынок80 000 $ – 140 000 $
Оценка ИИ

В объявлении не указана зарплата для региона LATAM, однако для Senior ролей в международных продуктовых компаниях такого уровня рынок Латинской Америки обычно предлагает от $80,000 до $130,000 в год при удаленной работе. Учитывая стадию компании (Series D) и сложность продукта, компенсация может быть выше среднего по региону.

Сопроводительное письмо

I am writing to express my strong interest in the Senior Consulting Engineer position for the LATAM region at ClickHouse. With over 6 years of experience in professional services and a deep background in distributed database management systems, I have consistently helped enterprise customers architect and optimize high-performance data solutions. My expertise in OLAP systems and public cloud infrastructure aligns perfectly with ClickHouse’s mission to transform how companies use data.

Throughout my career, I have successfully led large-scale technical projects, from initial Proof of Concept to full production deployment. I am particularly drawn to this role because it combines hands-on engineering with strategic customer consulting. Having worked extensively with distributed systems and cloud-native technologies like Kubernetes and Kafka, I am confident in my ability to provide high-tier support and architectural guidance to ClickHouse’s strategic partners in Latin America.

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Присоединяйтесь к команде ClickHouse и помогайте крупнейшим компаниям мира строить самые быстрые аналитические системы!

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!

We are currently expanding our Support Services team at ClickHouse, which delivers exceptional service to our customers worldwide. We are seeking a Senior Consulting Engineerto join our global team, where you'll provide Consultative Support to our ClickHouse enterprise customers. The role uniquely blends hands-on engineering, development assistance, and high-tier support, performing functions across Consultative Support, Engineering, and Support. You will work directly with a set of strategic customers, providing guidance, case answers, and technical oversight. Consulting Engineers will also be assisting with support cases for customers in our Support L1 to L3 tiers, particularly when not assigned to larger projects.

Responsibilities:

  • Project Engineering & Consulting (50%): Serve as a team member on customer projects, focusing on design, architecture, integration, implementation, and documentation. This includes research, benchmarking, performance and functional testing, reference architectures, sizing, migration, integration, development, and tooling.
  • Consultative Support (50%): Provide case-initiated consultative support to strategic users, customers, and prospects, assisting with implementation, onboarding, production launches, and Proof of Concepts (POCs).
  • Provide architectural, technical, and migration assistance, including hands-on tasks.
  • Work as a member of the Support Team, handling L1 to L3 cases and communications when not actively assigned to customer projects.
  • Partner closely with ClickHouse Product Management, Engineering, and Sales to contribute to the product roadmap and account plans.
  • Develop and assist with a wide range of content, including Public and Internal Documentation, Knowledge Base articles, ClickHouse Learning, Reference Architecture, blogs, and benchmark results.
  • Assist with hiring and mentoring new team members as we grow and scale.
  • Be available for scheduling and on-call needs to deliver high-quality 24x7 support in a global, distributed environment, including up to 35% estimated onsite regional travel.

Requirements:

  • 5+ years of experience in Professional Services, Support, Technical Accounts Management, Engineering/SRE, and/or Project Management roles.
  • 5+ years of relevant industry experience in implementing, operating, and/or supporting scalable, fault-tolerant, distributed database management systems ("DBMS").
  • Technical breadth and depth in relevant subjects such as DBMS, OLAP, Cloud/SaaS platforms, distributed systems software engineering, Linux/Unix, Kubernetes, System or Network Administration, and big data.
  • Experience leading and shipping large scope technical projects in collaboration with multiple experienced engineers.
  • Expertise with a public cloud provider (AWS, GCP, Azure) and their infrastructure as a service offering (e.g. EC2)

Bonus points:

  • Experience with ClickHouse
  • Experience with OSS and open-source technologies, as a user, community member, or contributor
  • Experience with Azure, GCP or AWS
  • Experience with data pipelines such as Kafka, Kinesis, Spark, RabbitMQ, or others

You'll love this role if:

  • You have excellent communication skills and thrive in a customer-facing role, collaborating closely with Support Services, Engineering, and Sales teams.
  • You are self-driven, curious, and eager to continuously learn and grow.
  • You possess a mindset of teamwork, global engagement, empathy, and a drive for solving challenging problems.
  • You have a sense of adventure and urgency in building the most scalable, highest performing, largest, and fastest databases in the world.

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

  • AWS
  • Azure
  • Python
  • Linux
  • SQL
  • Kubernetes
  • SRE
  • Google Cloud Platform
  • Kafka
  • Distributed Systems
  • ClickHouse
  • OLAP
  • DBMS

Возможные вопросы на собеседовании

ClickHouse — это OLAP-система. Важно понимать, как кандидат подходит к проектированию схем для аналитических нагрузок.

Опишите ваш подход к проектированию схемы данных в ClickHouse для таблицы с миллиардами строк: какие движки таблиц и ключи сортировки вы бы выбрали?

Роль предполагает работу с крупными клиентами. Нужно оценить опыт решения критических проблем в продакшене.

Расскажите о самом сложном случае деградации производительности распределенной БД, с которым вы столкнулись. Как вы проводили диагностику?

Вакансия требует опыта работы с облаками и K8s.

С какими основными трудностями вы сталкивались при развертывании и масштабировании ClickHouse или других БД в среде Kubernetes?

50% времени — это консалтинг и проекты. Важно умение управлять ожиданиями клиента.

Как вы справляетесь с ситуацией, когда требования клиента по производительности технически невыполнимы на текущем железе или архитектуре?

ClickHouse часто работает в связке с очередями сообщений.

Каков ваш опыт интеграции ClickHouse с Kafka? Какие паттерны вы используете для обеспечения отказоустойчивости доставки данных?

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