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About the Role
You'll own the Spark pipelines on Databricks that power Monaco's analytics products, working directly with product teams to turn their needs into reliable, cost-conscious data. This is a hands-on individual contributor role for a mid-level to senior engineer.
Responsibilities
- Build, deploy, and operate production Spark data pipelines on Databricks.
- Partner with product teams to turn analytics-product needs into pipeline requirements, including data quality and freshness expectations.
- Set up monitoring and observability so pipeline reliability is measured, not assumed.
- Diagnose performance and cost problems and fix their root causes.
- Recommend pragmatic standards for running pipelines as our data and platform scale.
Requirements
- Hands-on experience building, deploying, and maintaining production Spark pipelines.
- Deep understanding of how concepts like clustering, shuffles, different join strategies, and batch versus stream processing create tradeoffs in performance, freshness, and cost.
- Experience with reliability, monitoring, and observability, and the ability to explain how you diagnosed a real pipeline failure or bottleneck.
- Strong SQL.
- Basic programming skills in any language (Python is a plus).
- Comfort working as an individual contributor, directly with product teams, and through ambiguity.
Skills
- Spark
- Databricks
- SQL
- Python
- AWS
- RAG pipelines
- Streaming pipelines
- Logical replication
- Platform administration
Location
- San Francisco
Work Type
- In-person
- 5 days in the office
Experience Level
- Mid-level
- Senior
- 2-6 years of experience
About the Company
- Monaco is building an AI-native revenue platform that replaces the fragmented GTM stack with one unified system, consolidating 6–10 disconnected tools into a single platform built for the AI era.
- Launched publicly in Feb 2026, already 65 people, with strong early product-market fit generating millions in ARR within months of launch.
- Raised $85M in Series B from Founders Fund, Benchmark, and Human Capital.
- Founders previously led Brex, Apollo, and Clari.
- High autonomy, high pace team reinventing enterprise software.