3 дня назад
VP of Data Platform & Architecture
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
VP of Data Platform & Architecture (AWS/Open Source Data): Leading the strategic evolution of data engineering and platform architecture while building distributed systems for petabyte-scale datasets and hundreds of billions of events with an accent on self-service developer platforms, scalability, and cost efficiency. Focus on designing batch and real-time processing systems, transitioning commercial components to open-source technologies, and improving developer velocity across international engineering teams.
Location: Lehi, Utah, United States; hybrid workplace
Company
is a global ecommerce company operating across major online marketplaces including Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre.
What you will do
- Lead the data organization through directors and managers, shaping the strategic evolution of data engineering and platform architecture.
- Architect and scale distributed systems processing multi-petabyte datasets and hundreds of billions of events.
- Define a company-wide data vision and operating model with cross-functional engineering, security, sales, and product partners.
- Build self-service developer capabilities and abstractions that reduce time to delivery.
- Manage platform performance and cost efficiency while transitioning toward open-source technologies such as Airflow, Debezium, Iceberg, Trino, and Spark.
- Mentor international engineering teams and establish frameworks for technical excellence and operational rigor.
Requirements
- Deep experience architecting and operating large-scale distributed data platforms at multi-petabyte scale on cloud services, preferably AWS.
- Experience building internal developer frameworks and platform abstractions.
- Strong software engineering and distributed systems background, including batch and real-time processing.
- Experience leading and scaling international engineering organizations of 50 or more professionals.
- Familiarity with modern open-source data technologies such as Airflow, Debezium, Kafka, Spark, and ClickHouse.
- Ability to improve system performance, cost efficiency, and developer velocity through data-driven decisions.
Nice to have
- Experience building developer tools.
- Familiarity with ClickHouse.
- Experience contributing to or managing significant open-source data projects.
Culture & Benefits
- Reports directly to the CTO and is mentored by the CTO.
- Works with a growing team of more than 50 professionals across global locations.
- Collaborates with Directors of Data Engineering, SRE Leads, Product Managers, Engineering, Security, and Sales.
- Provides executive-level influence over the technical trajectory of a global ecommerce business.
- Offers strategic partnership with Engineering and Product leadership and primary technical authority for scalability and distributed systems.
Hiring process
- Recruiter interview.
- Technical and architectural deep-dive interview, followed by Engineering Leadership and Executive Review interviews.
- Reference checks and offer.
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