4 months ago
Senior Software Engineer - Data Infrastructure
Plaid
San Francisco
Full-time
GenOps Responsibility Profile
Runtime Ownership
✓ Yes
Control Plane
✓ Yes
Governance / Policy
✓ Yes
Observability / Telemetry
✗ No
Incident / Reliability
✗ No
Regulated Context
✓ Yes
AI / Model Runtime
✓ Yes
Primary Domain
data platform
Production Environment
internal
Classification Confidence
85%
Rationale: This role owns production data infrastructure (warehouse, lakehouse, Spark, orchestration, streaming) and builds platform abstractions for internal engineering teams. The role includes governance aspects (data correctness, completeness, guidance) and operates in a regulated financial data context with ML infrastructure responsibilities.
Job Description
Making data driven decisions is key to Plaid's culture. To support that, we need to scale our data systems while maintaining correct and complete data. We provide tooling and guidance to teams across engineering, product, and business and help them explore our data quickly and safely to get the data insights they need, which ultimately helps Plaid serve our customers more effectively. We build the data and machine learning infrastructure to enable Plaid engineers to prototype and iterate on products and features built on top of consumer-permissioned financial data.
Engineers on Data Infrastructure are domain experts in Data Warehouse, Data Lakehouse, Spark, Workflow Orchestration, and Streaming technologies. We scale our existing data pipelines in a performant and cost efficient way while creating the necessary abstractions to make developing on top of this platform extremely simple for other engineers at Plaid.