Klaviyo is a company that empowers creators to own their destiny by making first-party data accessible and actionable. They are seeking a Senior Analytics Engineer to join their Go To Market (GTM) team, focusing on Sales Analytics, where the role involves building and managing data pipelines and models to support Sales Operations and Analytics.
Responsibilities:
- Own secure ingestion from ROP/ERP/performance systems into Snowflake; define SLAs/SLOs; implement monitoring & alerting for each feed
- Design dimensional/entity models (dbt) for employees, positions, org structure, performance history, forecasting, and pipeline movement; publish curated marts with strong contracts and lineage
- Operationalize high‑value models to downstream tools and workflows using reverse‑ETL patterns to close the loop between insight and action
- Implement tests (unit/integration, schema/freshness), multi-layered validation frameworks that routinely validate data integrity, data policies (masking, purpose‑based access), and documentation that enable safe self‑service across the analytics community
- Maintain the analytics codebase (dbt repo), perform code reviews, and ensure modular, reusable patterns the broader team can adopt
- Run an intake & engagement model with Revenue and Sales Operations/ Analytics (primary), HRIS/People Tech (security/integration), Finance (plan/comp interfaces), and BI/Platform teams (shared standards)
Requirements:
- 3–5+ years in analytics/data engineering with production ELT in Snowflake + dbt + SQL; Python for orchestration/utilities
- Strong demonstration of Sales Operations
- Demonstrated independence partnering with senior, non‑technical leaders; able to translate open‑ended needs into scalable data products
- Proven experience implementing tests, monitoring, and documentation that keep pipelines healthy and reporting trustworthy
- Experience building data integrations and reverse‑ETL pipelines that support business operations
- Airflow (orchestration) and Fivetran/Workato (ELT/integration)
- Familiarity with data privacy controls (masking/RLS) in people data
- AWS experience (S3/EC2/Lambda) and IaC/Terraform