PIPELINE - L5 Principal Software Engineer - Core Data at Klaviyo · LumiJobs

Qualification

ExperienceTechnical expertiseAI tools & automationInfluence & enablementAI fluency (Klaviyo default)Adopted paved roadsSLOs & efficiencyAI‐augmented data operationsSuccess in 6 - 12 MonthsOne or more step‐change improvements (eMassachusetts Applicants

Required

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.
Influence & enablement: You land data contracts, connectors, and templates that speed delivery for producers and consumers; you mentor via design docs and pairing.
AI fluency (Klaviyo default): You experiment, learn fast, and share AI wins responsibly.

Preferred

Regional isolation/replication strategies, privacy‐by‐design, and data governance in regulated contexts.
Adopted paved roads: Producers/consumers are on standard ingestion, processing, and storage paths; schema governance and contracts reduce breakage.
SLOs & efficiency: ≥99.9% freshness for key domains; measurable cost/TB reductions; production debugging is faster with defined readiness reviews and incident learning.
AI‐augmented data operations: Semantic discovery and auto‐documentation cover the majority of high‐value datasets; AI‐assisted DQ monitors reduce data incidents on top pipelines by 25–40%; pipeline authoring and review times drop 15–25% with AI in the loop.
Success in 6 - 12 Months
Adopted “paved roads” for producers/consumers; ≥99.9% freshness SLO for key domains; measurable cost/TB reductions.
One or more step‐change improvements (e.g., 2× faster ingest → analytics latency) demonstrated with metrics and post‐incident trend‐down.
Massachusetts Applicants:

PIPELINE - L5 Principal Software Engineer - Core Data

Responsibilities

Qualification

Required

Preferred

Benefits

Company

Klaviyo

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