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 careers.klaviyo.com to see how we empower creators to own their own destiny.
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.
As Head of Data Platform, 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.

GET TO KNOW KLAVIYO

We’re Klaviyo (pronounced clay-vee-oh). We empower creators to own their destiny by making first-party data accessible and actionable like never before. We see limitless potential for the technology we’re developing to nurture personalized experiences in ecommerce and beyond. To reach our goals, we need our own crew of remarkable creators—ambitious and collaborative teammates who stay focused on our north star: delighting our customers. If you’re ready to do the best work of your career, where you’ll be welcomed as your whole self from day one and supported with generous benefits, we hope you’ll join us.
Klaviyo is committed to a policy of equal opportunity and non-discrimination. We do not discriminate on the basis of race, ethnicity, citizenship, national origin, color, religion or religious creed, age, sex (including pregnancy), gender identity, sexual orientation, physical or mental disability, veteran or active military status, marital status, criminal record, genetics, retaliation, sexual harassment or any other characteristic protected by applicable law.
IMPORTANT NOTICE: Our company takes the security and privacy of job applicants very seriously. We will never ask for payment, bank details, or personal financial information as part of the application process. All our legitimate job postings can be found on our official career site. Please be cautious of job offers that come from non-company email addresses (@klaviyo.com), instant messaging platforms, or unsolicited calls.

• Drive Vision & Strategy: 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.
• Build Foundational Data Capabilities: 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.
• Enhance Data Access & Performance: Lead efforts to significantly improve data discovery, exploration, querying capabilities, and reducing processing times for ML, BI, and analytical use cases.
• Scale for Growth: 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.
• Improve Data Quality & Governance: Champion initiatives for data quality, transactional consistency, GDPR compliance, and rigorous data governance, including data access control and operating in multiple geographies.
• Foster Internal & External Partnerships: Collaborate closely with internal teams (Data Science, BI, Product Analytics, Application Developers) and prepare for externalizing data platform services for third-party developers