VP of Data Platform & Architecture
AI summary of the role
VP-level role leading Pattern's data organization, reporting to the CTO, responsible for architecting and scaling petabyte-scale distributed data platforms and driving a transition to open-source technologies.
What you’ll do
- Lead the data organization through directors and managers, focusing on strategic evolution of data engineering and platform architecture.
- Architect and scale distributed systems processing petabyte-scale datasets and hundreds of billions of events.
- Drive company-wide data vision and operating model, collaborating with cross-functional teams.
- Build self-service capabilities and abstractions to reduce time-to-delivery from days to minutes.
What you’ll bring
- Deep experience architecting and operating large-scale distributed data platforms at multi-petabyte scale on cloud services (AWS preferred).
- Proven ability to build internal developer frameworks and abstractions.
- Strong background in software engineering and distributed systems design, including batch and real-time processing.
- Experience leading and scaling international engineering organizations of 50+ professionals.
Technologies
AWS · Airflow · Debezium · Iceberg · Trino · Spark · Kafka · Clickhouse · distributed systems · real-time processing
About Pattern
AI-powered ecommerce acceleration platform for global brands selling across 60+ marketplaces (Amazon, Walmart, TikTok Shop, Mercado Libre); uses 46+ trillion data points to optimize advertising, pricing, inventory, and fulfillment.
Public · 1000–2000 people
Source and classification
Internal deployment & tooling · Evidence for this classification:
JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com. Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®. What is a day in the life of a Vice President of Data Platform & Architecture? Lead the data organization through directors and managers, focusing on the strategic evolution of data engineering and platform architecture. Architect and scale distributed systems capable of processing petabyte-scale datasets and hundreds of billions of events. Collaborate with cross-functional teams to drive a company-wide data vision and operating model aligned with corporate goals. Obsess over the "developer experience," building
More from the job description
Are you obsessed with data, partner success, taking action, and changing the game? If you have a whole lot of hustle and a touch of nerd, come work with Pattern! We want you to use your skills to push one of the fastest-growing companies headquartered in the US to the top of the list. Pattern accelerates brands on global ecommerce marketplaces leveraging proprietary technology and AI. Utilizing more than 66 trillion data points, sophisticated machine learning and AI models, Pattern optimizes and automates all levers of ecommerce growth for global brands, including advertising, content management, logistics and fulfillment, pricing, forecasting and customer service. Hundreds of global brands depend on Pattern’s ecommerce acceleration platform every day to drive profitable revenue growth across 60+ global marketplaces—including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. To learn more, visit pattern.com or email press@pattern.com. Pattern has been named one of the fastest growing tech companies headquartered in North America by Deloitte and one of best-led companies by Inc. We place employee experience at the center of our business model and have been recognized as one of Newsweek’s Global Most Loved Workplaces®. What is a day in the life of a Vice President of Data Platform & Architecture? Lead the data organization through directors and [... source excerpt omitted ...] f-service environment that is fully adopted by engineering teams across the company. System Impact: Measurable improvements in system latency, throughput, and cost-efficiency for production-critical workloads. Team Impact: Measurable increase in developer velocity across the organization, driven by the removal of architectural friction and support of AI tools. What is my potential for career growth? Direct influence on the technical trajectory of a global ecommerce leader. Opportunity to lead a high-stakes transition from commercial to open-source platform architecture. Executive-level networking and strategic partnership with the broader Engineering and Product leadership. [... source excerpt omitted ...] components. 90 Days: Demonstrate early wins in system performance or cost-efficiency. What is the team like? This role reports directly to the Chief Technology Officer (CTO). You will be joining a growing team of 50+ professionals across global locations. In this role, you will collaborate closely with Directors of Data Engineering, SRE Leads, and Product Managers as well as other departments including Engineering, Security, and Sales. This position is mentored by the CTO. What is the hiring process? Recruiter Interview Technical/Architectural Deep Dive Interview Interview with Engineering Leadership Reference Checks Executive Review Offer How can I stand out as an
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