Director of Engineering - Data Platform

<div class="content-intro"><p><em>At Klaviyo, we value the unique backgrounds, experiences and perspectives each Klaviyo (we call ourselves Klaviyos) brings to our workplace each and every day. We believe everyone deserves a fair shot at success and appreciate the experiences each person brings beyond the traditional job requirements. If you’re a close but not exact match with the description, we hope you’ll still consider applying. Want to learn more about life at Klaviyo? Visit <a class="_ymio1r31 _ypr0glyw _zcxs1o36 _mizu194a _1ah3dkaa _ra3xnqa1 _128mdkaa _1cvmnqa1 _4davt94y _4bfu18uv _1hms8stv _ajmmnqa1 _vchhusvi _kqswh2mm _ect4ttxp _syaz13af _1a3b18uv _4fpr8stv _5goinqa1 _f8pj13af _9oik18uv _1bnxglyw _jf4cnqa1 _30l313af _1nrm18uv _c2waglyw _1iohnqa1 _9h8h12zz _10531ra0 _1ien1ra0 _n0fx1ra0 _1vhv17z1" href="http://klaviyo.com/careers" data-renderer-mark="true">klaviyo.com/careers</a> to see how we empower creators to own their own destiny.</em></p></div><p>Founded in 2012, Klaviyo was built around data processing and analytics from the start. Over the years our data foundation has evolved to a multi-tier architecture, supporting transactional access, real-time analytics, and off-line data processing jobs at multi-petabyte scale. As Klaviyo diversifies and moves up-market, and as the pace of machine learning advancement increases, the requirements on and importance of the data platform continue to rapidly grow. Our team has a wide mix of talents and experience, and we are uniquely positioned to advance the state of the practice by applying what we have learned in the past to the challenges of the future.</p> <p>As <strong>Head of Data Platform</strong>, you will report directly to the VP of Data Infrastructure Engineering. You will own the data lake, on-line analytics systems, data ingestion and movement, query processing, automation, compliance, and other related areas, and will coordinate the efforts of those teams to build our next generation of data platform that meets our scale, performance, reliability, and flexibility requirements.</p> <p><strong>How you’ll make a difference:</strong></p> <p>Your work will be foundational, enabling machine learning (ML), artificial intelligence (AI), business intelligence (BI), and advanced analytics (AA) product features across the organization, while directly contributing to Klaviyo's strategic growth in the mid-market (MM+) segment and expansion into new verticals. You will do this by leading teams to build a data platform that is accessed through a clear and cohesive set of APIs which could enable it to become a product itself.</p> <ul> <li><strong>Drive Vision Strategy:</strong> Lead the strategic planning, architectural design, and execution for the Data Platform, ensuring alignment with overall company objectives to dominate retail marketing and productize AI agents.</li> <li><strong>Build Foundational Data Capabilities:</strong> Oversee the development of core data structures, including a Common Data Model (CDM), unified data collection via Change Data Capture (CDC), and a scalable Key Value Store (KVS), serving as the bedrock for flexible data models and future innovations.</li> <li><strong>Enhance Data Access Performance: </strong>Lead efforts to significantly improve data discovery, exploration, querying capabilities, and reducing processing times for ML, BI, and analytical use cases.</li> <li><strong>Scale for Growth: </strong>Ensure the platform's scalability and reliability to support multiple customers with over 100M profiles by 2026, improving event processing, and reducing profile ingest times, all while controlling costs.</li> <li><strong>Improve Data Quality Governance: </strong>Champion initiatives for data quality, transactional consistency, GDPR compliance, and rigorous data governance, including data access control and operating in multiple geographies.</li> <li><strong>Foster Internal External Partnerships:</strong> Collaborate closely with internal teams (Data ... (truncated, view full listing at source)