VP of Data Platform & Architecture

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{
  "lists": [
    {
      "text": "What is a day in the life of a Vice President of Data Platform & Architecture?",
      "content": "<div>\n\n<li>\n<p>Lead the data organization through directors and managers, focusing on the strategic evolution of data engineering and platform architecture.</p>\n</li>\n<li>\n<p>Architect and scale distributed systems capable of processing petabyte-scale datasets and hundreds of billions of events.</p>\n</li>\n<li>\n<p>Collaborate with cross-functional teams to drive a company-wide data vision and operating model aligned with corporate goals.</p>\n</li>\n<li>\n<p>Obsess over the \"developer experience,\" building self-service capabilities and abstractions that reduce time-to-delivery from days to minutes.</p>\n</li>\n<li>\n<p>Manage the performance and cost efficiency of the platform, including transitions toward open-source technologies like Airflow, Debezium, Iceberg, Trino, and Spark.</p>\n</li>\n<li>\n<p>Mentor international engineering teams, establishing high-level frameworks for technical excellence and operational rigor.</p>\n</li>\n\n</div>"
    },
    {
      "text": "What will I need to thrive in this role?",
      "content": "<div>\n\n<li>\n<p><strong>Scale Systems Expertise:</strong> Deep experience architecting and operating large-scale distributed data platforms at a multi-petabyte scale on cloud services (AWS preferred).</p>\n</li>\n<li>\n<p><strong>Platform-First Mindset:</strong> Proven ability to build internal developer frameworks and abstractions rather than just managing pipelines.</p>\n</li>\n<li>\n<p><strong>Technical Depth:</strong> Strong background in software engineering and distributed systems design, specifically with batch and real-time processing.</p>\n</li>\n<li>\n<p><strong>Global Leadership:</strong> Experience leading and scaling international engineering organizations of 50+ professionals.</p>\n</li>\n<li>\n<p><strong>Open-Source Fluency:</strong> Familiarity with modern open-source stacks (e.g., Airflow, Debezium, Kafka, Spark, Clickhouse) and the trade-offs involved in platform architecture.</p>\n</li>\n<li>\n<p><strong>Data Fanaticism:</strong> A relentless focus on using data to improve system performance, cost-efficiency, and developer velocity.</p>\n</li>\n\n</div>"
    },
    {
      "text": "What does high performance look like?",
      "content": "<div>\n\n<li>\n<p><strong>Project Execution:</strong> The data platform evolves into an open-source, scalable, self-service environment that is fully adopted by engineering teams across the company.</p>\n</li>\n<li>\n<p><strong>System Impact:</strong> Measurable improvements in system latency, throughput, and cost-efficiency for production-critical workloads.</p>\n</li>\n<li>\n<p><strong>Team Impact:</strong> Measurable increase in developer velocity across the organization, driven by the removal of architectural friction and support of AI tools.</p>\n</li>\n\n</div>"
    },
    {
      "text": "What is my potential for career growth?",
      "content": "<div>\n\n<li>\n<p>Direct influence on the technical trajectory of a global ecommerce leader.</p>\n</li>\n<li>\n<p>Opportunity to lead a high-stakes transition from commercial to open-source platform architecture.</p>\n</li>\n<li>\n<p>Executive-level networking and strategic partnership with the broader Engineering and Product leadership.</p>\n</li>\n<li>\n<p>Role as the primary technical authority on scalability and distributed systems for the entire organization.</p>\n</li>\n\n</div>"
    },
    {
      "text": "What does success look like in the first 30, 60, 90 days?",
      "content": "<div>\n\n<li>\n<p><strong>30 Days:</strong> Complete a comprehensive audit of the current architecture, identify friction points in developer velocity, and build relationships with international team leads.</p>\n</li>\n<li>\n<p><strong>60 Days:</strong> Refine the roadmap for platform abstractions and contribute to the transition plan for key open-source components.</p>\n</li>\n<li>\n<p><strong>90 Days:</strong> Demonstrate early wins in system performance or cost-efficiency.</p>\n</li>\n\n</div>"
    },
    {
      "text": "What is the team like?",
      "content": "<div>\n\n<li>\n<p>This role reports directly to the Chief Technology Officer (CTO).</p>\n</li>\n<li>\n<p>You will be joining a growing team of 50+ professionals across global locations.</p>\n</li>\n<li>\n<p>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.</p>\n</li>\n<li>\n<p>This position is mentored by the CTO.</p>\n</li>\n\n</div>"
    },
    {
      "text": "What is the hiring process?",
      "content": "<div>\n\n<li>\n<p>Recruiter Interview</p>\n</li>\n<li>\n<p>Technical/Architectural Deep Dive Interview</p>\n</li>\n<li>\n<p>Interview with Engineering Leadership</p>\n</li>\n<li>\n<p>Reference Checks</p>\n</li>\n<li>\n<p>Executive Review</p>\n</li>\n<li>\n<p>Offer</p>\n</li>\n\n</div>"
    },
    {
      "text": "How can I stand out as an applicant?",
      "content": "<div>\n\n<li>\n<p><strong>The \"Nice-to-Haves\":</strong> Experience in building developer tools, familiarity with Clickhouse, and a history of contributing/managing significant open-source data projects</p>\n</li>\n<li>\n<p><strong>Stand-Out Tips:</strong></p>\n</li>\n\n\n<li style=\"list-style-type: circle;\">\n<p>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.</p>\n</li>\n<li style=\"list-style-type: circle;\">\n<p>Highlight specific instances where you improved developer velocity by introducing platform abstractions.</p>\n</li>\n<li style=\"list-style-type: circle;\">\n<p>Demonstrate your ability to lead and unify engineering teams across different time zones and cultures.</p>\n</li>\n\n</div>"
    }
  ],
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  "createdAt": 1777043165781,
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    "team": "Data / Analytics",
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