PIPELINE - L5 Principal Software Engineer
Boston · USD 244,000-366,000 · 10+ years experience · Posted Oct 7, 2026
At a glance
- Experience
- 10+ years experience
- Location
- Boston
- Salary
- USD 244,000-366,000 · Base salary
About the role
- Own the technical direction and delivery for Klaviyo's data platform, spanning streaming, batch compute, storage/lakehouse, and governance.
- Design and ship systems that are fast, reliable, cost-efficient, and safe for autonomous access as an individual contributor leading through architecture, code, and influence.
Responsibilities
- Design and implement core data platform capabilities including 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, and 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 while partnering 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 while mentoring Staff and Senior engineers across pillars through example and enablement.
- Use AI to streamline data workflows, from authoring and testing pipelines to catalog/search and data quality, so analysts, ML, and product teams move faster with confidence.
Requirements
- 10+ years building and operating distributed data systems with multi-tenant reliability.
- Technical expertise in data ingestion/CDC, stream processing, batch orchestration, lakehouse patterns, catalog/lineage, governance, and access controls measured by freshness, availability, and correctness SLOs.
- Experience applying ML/GenAI to data platforms including semantic catalog search, auto-docs, data-quality anomaly detection, and SQL/pipeline generation with human-in-the-loop review and privacy controls.
- Demonstrated ability to land data contracts, connectors, and templates that speed delivery for producers and consumers, and mentor via design docs and pairing.
- AI fluency including experimenting, learning fast, and sharing AI wins responsibly.
Preferred qualifications
- Regional isolation/replication strategies, privacy-by-design, and data governance in regulated contexts.
- Adopted paved roads where producers and consumers are on standard ingestion, processing, and storage paths with schema governance and contracts reducing breakage.
- Achieving a greater than or equal to 99.9% freshness SLO for key domains, measurable cost/TB reductions, and faster production debugging with defined readiness reviews and incident learning.
- AI-augmented data operations where semantic discovery and auto-documentation cover the majority of high-value datasets.
- AI-assisted data quality monitors reducing data incidents on top pipelines by 25 to 40 percent.
- Pipeline authoring and review times dropping 15 to 25 percent with AI in the loop.
Benefits
- Company's annual cash bonus plan
- Equity
- Sign-on payments
- Comprehensive range of health, welfare, and wellbeing benefits based on eligibility
Workplace
- This role may require up to 10% travel for purposes such as new hire onboarding, client or partner work if applicable, team meetings, and industry events.
Skills
- Kafka
- PubSub
- Flink
- Spark
- Beam
- Airflow
- Dagster
- Iceberg
- Delta
- Hudi
- Snowflake
- BigQuery