Staff Software Engineer, Data Quality and Governance

Stripe
Seattle
Workplace: OnsiteFull timeFunction: Software EngineeringExperience: 10+ yearsSkills: ["Mentorship","Cross-functional collaboration","Clear communication","Customer focus","Autonomy"]

Own technical outcomes for a team building Stripe’s data-quality and governance infrastructure, including the Data Catalog, Knowledge Graph Service, dataset tiering, governance standards, lineage tracking, and quality scoring. Lead large-scale data discovery and metadata/catalog platforms, manage SLAs for data pipelines and full-stack web applications, and partner with product and engineering to deliver canonical datasets and trustworthy data. Leverage AI/LLMs and Agents to produce and analyze high-quality data.

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FursaFursa
Stripe
Stripe
5 hours ago

Staff Software Engineer, Data Quality and Governance

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Source: Company careers pageValidated by: Fursa AI
Last checked: 4 hours agoStatus: Live

Job Summary

Own technical outcomes for a team building Stripe’s data-quality and governance infrastructure, including the Data Catalog, Knowledge Graph Service, dataset tiering, governance standards, lineage tracking, and quality scoring. Lead large-scale data discovery and metadata/catalog platforms, manage SLAs for data pipelines and full-stack web applications, and partner with product and engineering to deliver canonical datasets and trustworthy data. Leverage AI/LLMs and Agents to produce and analyze high-quality data.
Location: Seattle
Workplace: Onsite
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Lead technical outcomes for a team of engineers by providing mentorship, guidance, and support to ensure success.
  • •Build and operate large-scale data discovery, metadata, and catalog platform capabilities.
  • •Develop subject-matter expertise and manage SLAs across data pipelines and full-stack web applications serving critical stakeholders.
  • •Partner with product managers and peers to create and improve canonical datasets and data warehouses, establish golden paths, and ensure trustworthy data for Stripe and customers.
  • •Use AI/LLM and Agents at scale to produce and analyze high-quality data on ambiguous problems.

Key Requirements

  • •Staff-level role requiring 10+ years building and operating data systems, pipelines, warehouses, infrastructure, and leading teams to deliver solutions.
  • •Strong distributed systems fundamentals for high-availability infrastructure that powers Stripe’s data tooling.
  • •Inquisitive debugging of data inconsistencies to identify and resolve deep-rooted data quality issues.
  • •Backend development language experience (Scala, Java, or Go) plus strong SQL experience.
  • •Demonstrated cross-functional collaboration, clear communication, and ability to make or coordinate difficult decisions in ambiguous environments.
Experience:10+ yearsData systemsData pipelinesData warehousesDistributed systems
Skills:MentorshipCross-functional collaborationClear communicationCustomer focusAutonomy
Languages:English
Tech Stack:ScalaJavaGoSQLIcebergKafkaChange Data CaptureFlinkSparkAirflowHive MetastorePinotTrinoAWS CloudAI/LLMAgentsData catalogsKnowledge graphLineage tracking

Company Brief

Stripe
Provides payment processing APIs and financial infrastructure for internet businesses. Powers online payments for millions of companies from startups to Fortune 500s.
Industry: Payments
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Scaleup
Valuation: Decacorn (USD 10B+)
Funding: Series E+
Headquarters: San Francisco, United States
Founded: 2010
Glassdoor
Glassdoor: 4.2
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