VP of Data Platform & Architecture

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.

Responsibilities

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 self-service capabilities and abstractions that reduce time-to-delivery from days to minutes; Manage the performance and cost efficiency of the platform, including transitions toward open-source technologies like Airflow, Debezium, Iceberg, Trino, and Spark; Mentor international engineering teams, establishing high-level frameworks for technical excellence and operational rigor

Requirements

Deep experience architecting and operating large-scale distributed data platforms at a multi-petabyte scale on cloud services (AWS preferred); Proven ability to build internal developer frameworks and abstractions rather than just managing pipelines; Strong background in software engineering and distributed systems design, specifically with batch and real-time processing; Experience leading and scaling international engineering organizations of 50+ professionals; Familiarity with modern open-source stacks (e.g., Airflow, Debezium, Kafka, Spark, Clickhouse) and the trade-offs involved in platform architecture; A relentless focus on using data to improve system performance, cost-efficiency, and developer velocity

Nice to have

Experience in building developer tools; familiarity with Clickhouse; history of contributing/managing significant open-source data projects

Benefits

Unlimited PTO; Paid Holidays; Onsite Fitness Center; Company Paid Life Insurance; Casual Dress Code; Competitive Pay; Health, Vision, and Dental Insurance; 401(k) match