VP of Data Platform & Architecture
Pattern, Lehi, UT, United States
Overview
Are you obsessed with data, partner success, taking action, and changing the game? Pattern is looking for someone with hustle and a nerdy edge to help push one of the fastest-growing US-headquartered companies to the top of the list. Pattern accelerates brands on global ecommerce marketplaces using proprietary technology and AI to optimize and automate growth across advertising, content management, logistics and fulfillment, pricing, forecasting and customer service.
Pattern operates across 60+ global marketplaces including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. The company emphasizes employee experience and has been recognized as a Fastest Growing Tech Company in North America and as one of Newsweek’s Global Most Loved Workplaces.
Role
Vice President of Data Platform & Architecture
— lead the data organization through directors and managers, focusing on strategic evolution of data engineering and platform architecture. Architect and scale distributed systems that can process petabyte-scale datasets and hundreds of billions of events. Drive a company-wide data vision and operating model in collaboration with cross-functional teams. Build self-service capabilities and improve developer experience to reduce time-to-delivery. Manage platform performance and cost efficiency, with transitions toward open-source technologies such as Airflow, Debezium, Iceberg, Trino, and Spark. Mentor international engineering teams, establishing frameworks for technical excellence and operational rigor.
What you will need to thrive
Scale Systems Expertise:
Deep experience architecting and operating large-scale distributed data platforms at multi-petabyte scale on cloud services (AWS preferred).
Platform-First Mindset:
Ability to build internal developer frameworks and abstractions rather than just managing pipelines.
Technical Depth:
Strong software engineering and distributed systems background, with batch and real-time processing.
Global Leadership:
Experience leading and scaling international engineering organizations of 50+ professionals.
Open-Source Fluency:
Familiarity with modern open-source stacks (Airflow, Debezium, Kafka, Spark, ClickHouse) and related trade-offs.
Data Focus:
A relentless focus on using data to improve system performance, cost-efficiency, and developer velocity.
What high performance looks like
Project Execution:
Data platform evolves into an open-source, scalable, self-service environment adopted by engineering teams company-wide.
System Impact:
Measurable improvements in latency, throughput, and cost-efficiency for production workloads.
Team Impact:
Increased developer velocity by removing architectural friction and supporting AI tools.
Career growth
Direct influence on the technical trajectory of a global ecommerce leader.
Opportunity to lead a transition from commercial to open-source platform architecture.
Executive-level networking and strategic partnerships with Engineering and Product leadership.
Primary technical authority on scalability and distributed systems for the organization.
Success in the first 30, 60, 90 days
30 Days:
Complete a comprehensive audit of current architecture, identify friction points in developer velocity, and build relationships with international team leads.
60 Days:
Refine the roadmap for platform abstractions and contribute to the transition plan for key open-source components.
90 Days:
Demonstrate early wins in system performance or cost-efficiency.
The team
Reports to the Chief Technology Officer (CTO).
Join a growing team of 50+ professionals across global locations.
Collaborates with Directors of Data Engineering, SRE Leads, Product Managers, and other departments including Engineering, Security, and Sales.
Mentored by the CTO.
Hiring process
Recruiter Interview
Technical/Architectural Deep Dive
Interview with Engineering Leadership
Reference Checks
Executive Review
Offer
Stand-out as an applicant
The Nice-to-Haves:
Experience building developer tools, familiarity with ClickHouse, and a history of contributing or managing significant open-source data projects.
Stand-Out Tips:
Discuss and articulate trade-offs across database types, streaming platforms, query engines, and orchestration tools, including commercial vs. open-source considerations at scale.
Highlight instances where you improved developer velocity by introducing platform abstractions.
Demonstrate ability to lead and unify engineering teams across time zones and cultures.
Benefits and culture
Pattern offers opportunities to impact the ecommerce industry with a fast-paced, collaborative environment. Benefits include unlimited PTO, paid holidays, onsite fitness center, company-paid life insurance, casual dress code, competitive pay, health/vision/dental insurance, and 401(k) match. Pattern provides equal employment opportunities and prohibits discrimination and harassment of any type in accordance with applicable laws.
#J-18808-Ljbffr
Are you obsessed with data, partner success, taking action, and changing the game? Pattern is looking for someone with hustle and a nerdy edge to help push one of the fastest-growing US-headquartered companies to the top of the list. Pattern accelerates brands on global ecommerce marketplaces using proprietary technology and AI to optimize and automate growth across advertising, content management, logistics and fulfillment, pricing, forecasting and customer service.
Pattern operates across 60+ global marketplaces including Amazon, Walmart.com, Target.com, eBay, Tmall, TikTok Shop, JD, and Mercado Libre. The company emphasizes employee experience and has been recognized as a Fastest Growing Tech Company in North America and as one of Newsweek’s Global Most Loved Workplaces.
Role
Vice President of Data Platform & Architecture
— lead the data organization through directors and managers, focusing on strategic evolution of data engineering and platform architecture. Architect and scale distributed systems that can process petabyte-scale datasets and hundreds of billions of events. Drive a company-wide data vision and operating model in collaboration with cross-functional teams. Build self-service capabilities and improve developer experience to reduce time-to-delivery. Manage platform performance and cost efficiency, with transitions toward open-source technologies such as Airflow, Debezium, Iceberg, Trino, and Spark. Mentor international engineering teams, establishing frameworks for technical excellence and operational rigor.
What you will need to thrive
Scale Systems Expertise:
Deep experience architecting and operating large-scale distributed data platforms at multi-petabyte scale on cloud services (AWS preferred).
Platform-First Mindset:
Ability to build internal developer frameworks and abstractions rather than just managing pipelines.
Technical Depth:
Strong software engineering and distributed systems background, with batch and real-time processing.
Global Leadership:
Experience leading and scaling international engineering organizations of 50+ professionals.
Open-Source Fluency:
Familiarity with modern open-source stacks (Airflow, Debezium, Kafka, Spark, ClickHouse) and related trade-offs.
Data Focus:
A relentless focus on using data to improve system performance, cost-efficiency, and developer velocity.
What high performance looks like
Project Execution:
Data platform evolves into an open-source, scalable, self-service environment adopted by engineering teams company-wide.
System Impact:
Measurable improvements in latency, throughput, and cost-efficiency for production workloads.
Team Impact:
Increased developer velocity by removing architectural friction and supporting AI tools.
Career growth
Direct influence on the technical trajectory of a global ecommerce leader.
Opportunity to lead a transition from commercial to open-source platform architecture.
Executive-level networking and strategic partnerships with Engineering and Product leadership.
Primary technical authority on scalability and distributed systems for the organization.
Success in the first 30, 60, 90 days
30 Days:
Complete a comprehensive audit of current architecture, identify friction points in developer velocity, and build relationships with international team leads.
60 Days:
Refine the roadmap for platform abstractions and contribute to the transition plan for key open-source components.
90 Days:
Demonstrate early wins in system performance or cost-efficiency.
The team
Reports to the Chief Technology Officer (CTO).
Join a growing team of 50+ professionals across global locations.
Collaborates with Directors of Data Engineering, SRE Leads, Product Managers, and other departments including Engineering, Security, and Sales.
Mentored by the CTO.
Hiring process
Recruiter Interview
Technical/Architectural Deep Dive
Interview with Engineering Leadership
Reference Checks
Executive Review
Offer
Stand-out as an applicant
The Nice-to-Haves:
Experience building developer tools, familiarity with ClickHouse, and a history of contributing or managing significant open-source data projects.
Stand-Out Tips:
Discuss and articulate trade-offs across database types, streaming platforms, query engines, and orchestration tools, including commercial vs. open-source considerations at scale.
Highlight instances where you improved developer velocity by introducing platform abstractions.
Demonstrate ability to lead and unify engineering teams across time zones and cultures.
Benefits and culture
Pattern offers opportunities to impact the ecommerce industry with a fast-paced, collaborative environment. Benefits include unlimited PTO, paid holidays, onsite fitness center, company-paid life insurance, casual dress code, competitive pay, health/vision/dental insurance, and 401(k) match. Pattern provides equal employment opportunities and prohibits discrimination and harassment of any type in accordance with applicable laws.
#J-18808-Ljbffr