A hybrid role at Pattern.
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Original listing text, shown exactly as published by the company.
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Scale Systems Expertise: Deep experience architecting and operating large-scale distributed data platforms at a multi-petabyte scale on cloud services (AWS preferred).
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Platform-First Mindset: Proven ability to build internal developer frameworks and abstractions rather than just managing pipelines.
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Technical Depth: Strong background in software engineering and distributed systems design, specifically with batch and real-time processing.
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Global Leadership: Experience leading and scaling international engineering organizations of 50+ professionals.
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Open-Source Fluency: Familiarity with modern open-source stacks (e.g., Airflow, Debezium, Kafka, Spark, Clickhouse) and the trade-offs involved in platform architecture.
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Data Fanaticism: A relentless focus on using data to improve system performance, cost-efficiency, and developer velocity.
What does high performance look like?
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Project Execution: The data platform evolves into an open-source, scalable, self-service environment that is fully adopted by engineering teams across the company.
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System Impact: Measurable improvements in system latency, throughput, and cost-efficiency for production-critical workloads.
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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?
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Direct influence on the technical trajectory of a global ecommerce leader.
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Opportunity to lead a high-stakes transition from commercial to open-source platform architecture.
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Executive-level networking and strategic partnership with the broader Engineering and Product leadership.
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Role as the primary technical authority on scalability and distributed systems for the entire organization.
What does success look like in the first 30, 60, 90 days?
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30 Days: Complete a comprehensive audit of the current architecture, identify friction points in developer velocity, and build relationships with international team leads.
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60 Days: Refine the roadmap for platform abstractions and contribute to the transition plan for key open-source components.
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90 Days: Demonstrate early wins in system performance or cost-efficiency.
What is the team like?
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This role reports directly to the Chief Technology Officer (CTO).
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You will be joining a growing team of 50+ professionals across global locations.
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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.
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This position is mentored by the CTO.
What is the hiring process?
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Recruiter Interview
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Technical/Architectural Deep Dive Interview
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Interview with Engineering Leadership
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Reference Checks
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Executive Review
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Offer
How can I stand out as an applicant?
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The "Nice-to-Haves": Experience in building developer tools, familiarity with Clickhouse, and a history of contributing/managing significant open-source data projects
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Be prepared to discuss and articulate trade-offs across database types, streaming platforms, query engines, and orchestration tools — including commercial vs. open-source considerations at scale.
Highlight specific instances where you improved developer velocity by introducing platform abstractions.
Demonstrate your ability to lead and unify engineering teams across different time zones and cultures.
Pattern
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Pattern is a global e-commerce acceleration company that helps brands grow their online sales and presence across major digital marketplaces. They provide a suite of services and technology solutions to manage and optimize marketplace performance worldwide.
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