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
Design and implement core data platform capabilities (e.g., event: ingestion/CDC, stream processing, batch orchestration, data lake/warehouse patterns, catalog/lineage, governance, access, and compliance).
Define and uphold SLOs for data freshness, availability, and correctness;: author/run readiness reviews, incident response, and post‑incident learning for your domain.
Author ADRs/RFCs, land data contracts and schema governance, and standardize: connectors and templates that accelerate developer velocity.
Profile, tune, and right‑size systems for performance and cost; partner with: FinOps on unit‑economics guardrails.
Pair with product teams and analytics/ML to expose the right abstractions and unblock customer value quickly.
Contribute high‑quality code and reviews; mentor Staff/ Sr. engineers across: pillars through example and enablement (not line management).
What they're looking for
- Use AI to streamline data workflows, from authoring and testing pipelines to: catalog/search and DQ, so analysts, ML, and product teams move faster with confidence.
- Experience: 10+ years building and operating distributed data systems (e.g.,: Kafka/PubSub, Flink/Spark/Beam, Airflow/Dagster, Iceberg/Delta/Hudi; Snowflake/BigQuery; object storage) with multi‑tenant reliability.
- Technical expertise: Data ingestion/CDC, stream processing, batch orchestration, lakehouse patterns, catalog/lineage, governance, and access controls, measured by freshness, availability, and correctness SLOs.
- AI tools & automation: You apply ML/GenAI to data platforms - semantic catalog search, auto‑docs, data‑quality anomaly detection, SQL/pipeline generation - with human‑in‑the‑loop review and privacy controls.
