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Klaviyo is seeking a Senior Lead Software Engineer to anchor the Data Platform organization's Data Lake domain while working broadly across the platform. This is a high-impact individual contributor role focused on shaping technical direction across lakehouse storage and compute, data onboarding and orchestration, modeled data layers, and operational automation.
You will independently own and drive technical objectives spanning multiple Data Platform teams, particularly Data Lake while supporting Data Automation and Data Warehouse initiatives. Key responsibilities include aligning technical roadmaps across teams to ensure coherent investments against shared priorities; leading large, complex cross-team initiatives from discovery through rollout; making high-judgment architectural decisions on core platform systems; and establishing paved paths and standards that reduce manual work and accelerate system evolution across the platform.
You will partner closely with engineering, product, analytics, AI/ML, and governance stakeholders, representing Data Platform in cross-functional discussions that require both technical depth and strong communication. You'll be accountable for long-term technical health across reliability, scalability, performance, cost, security, and operational excellence. During high-severity situations, you'll own response coordination and turn lessons learned into lasting improvements.
The role includes investing in senior and lead engineer growth through design reviews, RFC feedback, architectural coaching, and participation in senior hiring. You'll help drive alignment on complex projects by clarifying trade-offs, surfacing dependencies early, and ensuring teams stay coordinated as priorities shift.
Required: 12+ years of software engineering experience with deep knowledge of distributed systems, data platform architecture, and large-scale analytical processing. Expertise in one or more core areas such as lakehouse architecture, data ingestion/transformation, distributed compute, data warehousing, platform reliability, or developer-facing data infrastructure. Track record of independently leading large, ambiguous multi-quarter programs with clear architectural decision-making and ability to lead teams through critical operational moments. Strong hands-on experience with Iceberg-based storage, Spark/EMR compute, Airflow orchestration, Python-based tooling, modeled data systems, and AWS infrastructure.
