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SeniorВ офисеПолная занятость

Senior Data Platform Engineer

Оценка ИИ

Отличная вакансия в продуктовой компании с современным стеком (Snowflake, dbt, Terraform) и четко сформулированными задачами. Высокий уровень влияния на архитектуру и отсутствие микроменеджмента делают её очень привлекательной для Senior-специалистов.


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Сложность вакансии

ЛегкоСложно
Оценка ИИ

Роль требует высокого уровня экспертизы в архитектуре данных и DevOps (Terraform, AWS). Основная сложность заключается в переходе к концепции Data Mesh и внедрении стандартов надежности данных (DRE) в быстрорастущей среде.

Анализ зарплаты

Медиана6 500 €
Рынок5 000 € – 8 000 €
Оценка ИИ

Зарплата не указана, но для позиции Senior Data Platform Engineer в Праге рыночный диапазон составляет от 120 000 до 180 000 CZK в месяц (брутто). Учитывая американские корни компании и сложность задач, можно ожидать предложения по верхней границе рынка.

Сопроводительное письмо

I am writing to express my interest in the Senior Data Platform Engineer position at ShipMonk. With my extensive experience in building scalable data infrastructure and a strong background in Snowflake, dbt, and Airflow, I am excited about the opportunity to help transition your data architecture toward a decentralized, self-service model. I have a proven track record of implementing Data Reliability Engineering (DRE) practices and optimizing cloud compute costs, which aligns perfectly with your goals for the new Data Mart.

Throughout my career, I have focused on creating 'paved roads' for domain teams, enabling them to own their data pipelines while maintaining high standards of integrity and performance. My expertise in Terraform and AWS Fargate allows me to treat infrastructure with the same rigor as application code. I am particularly drawn to ShipMonk's 'Get sh*t done' culture and the tangible impact your platform has on global e-commerce logistics. I look forward to the possibility of discussing how my technical leadership can contribute to your R&D team's success.

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Составьте идеальное письмо к вакансии с ИИ-агентом

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Откликнитесь в shipmonk уже сейчас

Присоединяйтесь к команде ShipMonk в Праге и создавайте инфраструктуру данных, которая управляет логистикой мирового уровня!

Описание вакансии

About ShipMonk

ShipMonk isn't just a 3PL; we're a growth partner for merchants. We provide cutting-edge technology and a network of owned and operated fulfillment centers that empower high-growth ecommerce and DTC brands to stress less and grow more. With over 2,500 employees across five countries, we're on a mission to revolutionize fulfillment by providing everything from the fastest click-to-delivery and real-time inventory to custom solutions—all with a merchant-first mindset.

Why ShipMonk?

We believe in building for the long term, and our success is powered by five key differentiators that help us become true partners to our merchants.

● Global Fulfillment Network: Our 12+ owned and operated fulfillment centers span the US, Canada, Mexico, the U.K., and Mainland Europe. We never outsource, ensuring quality and consistency.

Proprietary Technology: We've eliminated the need for tribal knowledge with our AI-powered platform. It provides a real-time, unified view of inventory and orders, giving our merchants the control and visibility they need to succeed.

Unrivaled Support: We provide hands-on, "mom and pop" support with a global reach. Our dedicated teams are on-site at every fulfillment center, ready to jump into action.

Transparent Pricing: We believe in honest, long-term partnerships. Our all- inclusive pricing means predictable costs, with no hidden fees or surprises.

Committed to the Future: We invest over $10 million annually in research and development to ensure our technology and services continually evolve, helping merchants plant roots with a partner who is here to stay.

Our Core Values

Our values are the heart of our culture. We're looking for individuals who embody these principles every day.

Merchant-first: We handle the logistics so our merchants can focus on what they do best—growing their business.

Own it:We take ownership of our work, our mistakes, and our successes.

People make ShipMonk: We believe in our team and invest in our people.

Change the score:We challenge the status quo, constantly innovating and improving.

Get sh\*t done: We're a fast-paced, high-growth company that values action and results.

We are ShipMonk, and we provide logistics services in order fulfillment. Our main business is in the USA, but our modern platform is built by the Product Development team in Prague.

Here at ShipMonk, we process up to 100,000 orders per day in our peak season. Our book of business has more than 1,500 clients, which are small and medium e-shops, mostly based in the US. We offer the ShipMonk platform as the solution for the whole process.  It covers everything from stocking the items to shipping the ready packages to all corners of the world!

The Opportunity

We are looking for a Senior Data Platform Engineer to join our Research & Development team. We recently laid the foundation for our new Data Mart and are actively driving the adoption of a modern Data Platform across the company.

This is not a traditional pipeline-building role. We need an infrastructure-minded engineer to build the paved roads that empower our warehouse, finance, and business development domain teams to independently produce and consume reliable data. You will tackle complex architectural challenges, manage cloud compute costs at scale, and implement production-grade data reliability standards for a logistics network that processes up to 100,000 orders per day.

The Stack

We operate a modern data ecosystem and treat data infrastructure with the same rigor as our core software applications.

  • Storage & Compute: Snowflake
  • Transformation & Orchestration: dbt, Airflow, Keboola
  • Streaming & Integration: StreamKap, Zapier
  • Governance & BI: DataHub, Metabase
  • Infrastructure & Security: Terraform, AWS Fargate, Okta

The Impact

We don’t manage your hours; we manage outcomes. We value deep technical expertise paired with a strong product mindset. In this role, you are expected to:

  • Platform Enablement: Build reliable, scalable infrastructure that allows domain teams to self-serve. You will shift the company toward decentralized data ownership (Data Mesh concepts) by providing the right tooling and architecture.
  • Data Reliability Engineering (DRE): You genuinely care about data integrity. You will introduce rigorous Data Quality standards and SLO-based alerting systems to treat data freshness and accuracy as a high-availability production asset.
  • FinOps & Scale: As our data volume and velocity increase, you will promote cost awareness and actively optimize our Snowflake compute, storage, and pipeline architectures.
  • Strategic Migration: Guide the architectural transition by assisting data producers and consumers in migrating legacy data flows to our new, scalable Data Platform.
  • Technical Ownership: Leverage Terraform and AWS Fargate to continuously improve, secure, and automate our underlying data infrastructure.

ShipMonk is a place where your engineering decisions have a visible, immediate impact on how goods move around the world. We are looking for colleagues who are ready to take ownership, challenge the status quo, and "get sh\*t done."

Ready to build the platform that moves the physical world? [Apply via our recruiter – No Cover Letter Needed, Just your Profile/GitHub]

ShipMonk is an equal opportunity employer. We value diversity and do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status.

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Создайте идеальное резюме с помощью ИИ-агента

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Навыки

  • Snowflake
  • dbt
  • Airflow
  • Terraform
  • AWS Fargate
  • DataHub
  • Metabase
  • Keboola
  • Data Mesh
  • FinOps

Возможные вопросы на собеседовании

Проверка опыта внедрения архитектурных подходов, упомянутых в описании вакансии.

Как бы вы организовали переход от монолитной архитектуры данных к децентрализованной модели (Data Mesh) в условиях работающего бизнеса?

Вакансия делает упор на FinOps и оптимизацию затрат в Snowflake.

Какие стратегии вы используете для мониторинга и оптимизации затрат на вычисления в Snowflake при масштабировании данных?

Компания ищет инженера, ориентированного на надежность (DRE).

Расскажите о вашем опыте внедрения SLO и систем оповещения для обеспечения качества и свежести данных.

Стек включает Terraform и AWS Fargate.

Как вы используете Infrastructure as Code (IaC) для управления жизненным циклом компонентов платформы данных?

Проверка умения создавать инструменты для других команд.

Опишите пример 'paved road' (готового решения), которое вы создали для того, чтобы аналитики или разработчики могли самостоятельно развертывать пайплайны.

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