The opportunity
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.
What you'll do
Independently own and drive high-impact technical objectives that span: multiple Data Platform teams, especially Data Lake while supporting work that intersects with Data Automation and Data Warehouse.
Help align technical roadmaps across Data Platform so teams are making: coherent investments against shared priorities, dependencies, and long-term platform direction.
Lead large, complex, cross-team initiatives from discovery through rollout: and long-term ownership, especially where success depends on coordination across organizational and technical boundaries.
Make high-judgment architectural decisions across core platform systems: including lakehouse storage and compute, orchestration, modeled data layers, and operational automation, and create reference patterns that other teams can reuse.
Establish paved paths, standards, and shared abstractions that reduce: repetitive manual work and make onboarding, operating, and evolving data systems dramatically faster and more reliable across the platform.
Partner closely with engineering, product, analytics, AI/ML, and governance: stakeholders, and represent Data Platform clearly in cross-functional discussions that require both technical depth and strong external communication.
What they're looking for
- You are passionate about building platforms for the long term and can balance: technical quality, engineering velocity, and business impact across multiple teams.
- You have 12+ years of software engineering experience and deep knowledge of: distributed systems, data platform architecture, and large-scale analytical processing.
- You bring deep expertise in one or more core Data Platform problem spaces: such as lakehouse architecture, data ingestion and transformation, distributed compute, data warehousing, platform reliability, or developer-facing data infrastructure, while maintaining strong system-level thinking across interconnected areas.
- You have independently led large, ambiguous, multi-quarter programs and have: a track record of making clear architectural calls, breaking through technical obstacles, and leading teams through critical operational moments.
- You have strong hands-on experience with the kinds of systems this role: touches, including Iceberg-based storage, Spark or EMR-based compute, Airflow-based orchestration, Python-based data platform tooling, modeled data systems, and AWS-hosted infrastructure.
- You understand how to build and operate trustworthy data platforms, including: schema evolution, materialization patterns, observability, backfills, repairs, audits, access controls, and cost-aware platform operations.
- You are highly effective at driving outcomes through influence and technical: leadership rather than direct authority, and you communicate clearly with both technical and non-technical partners.
- You are passionate about mentoring other engineers and creating the patterns,: guidance, and opportunities that help senior engineers and leads grow.
