Software Engineer, Data Foundation

Zoom Video Communications
Anywhere
Workplace: RemoteFull timeFunction: Software EngineeringSkills: ["Collaboration","Stakeholder management","Requirement translation","System design","Attention to data quality"]

Architect the foundation of a data platform from ingestion to the semantic/metric layer, enabling reliable analytics and deterministic LLM querying. Build scalable, fault-tolerant batch and streaming pipelines with end-to-end data quality, observability, monitoring, testing, and documentation. Model datasets using dimensional modeling, Data Vault, or One Big Table, and engineer enterprise-scale multi-tenant data solutions accelerated with Generative AI frameworks.

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FursaFursa
Zoom Video Communications
Zoom Video Communications
3 days ago

Software Engineer, Data Foundation

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Canonical indexed version, validated from employer's careers page.

Source: Company careers pageValidated by: Fursa AI
Last checked: 11 hours agoStatus: Live
Reposted: first listed 2 days ago

Job Summary

Architect the foundation of a data platform from ingestion to the semantic/metric layer, enabling reliable analytics and deterministic LLM querying. Build scalable, fault-tolerant batch and streaming pipelines with end-to-end data quality, observability, monitoring, testing, and documentation. Model datasets using dimensional modeling, Data Vault, or One Big Table, and engineer enterprise-scale multi-tenant data solutions accelerated with Generative AI frameworks.
Location: Anywhere
Workplace: Remote
Employment Type: Full time
Job Function: Software Engineering
Seniority: Mid level

Key Responsibilities

  • •Architect the data platform foundation from ingestion through the semantic/metric layer to enable reliable analytics and deterministic LLM querying.
  • •Design and build scalable, fault-tolerant batch and streaming data pipelines that transform raw sources into trusted, well-documented datasets.
  • •Own end-to-end data quality and observability with monitoring, alerting, testing, and documentation for pipelines and models.
  • •Build and evolve semantic and metric layers by establishing context and guardrails for reliable querying by analysts and AI agents.
  • •Architect well-modeled enterprise datasets using dimensional modeling, Data Vault, or One Big Table principles and key strategy.

Key Requirements

  • •6+ years of software engineering experience with a substantial focus on data architecture or system design.
  • •Architect or design complex data models, including grain selection, key strategy, and schema design, and scale data platforms in multi-tenant environments.
  • •Fluency in Python, Java, or Scala with strong software engineering fundamentals.
  • •Deep expertise in data modeling paradigms such as dimensional modeling, Data Vault, or One Big Table.
  • •Experience designing batch and streaming pipeline architectures, including multi-region replication.
Experience:Data architectureData pipelinesStreamingAnalyticsLLMMulti-tenant
Skills:CollaborationStakeholder managementRequirement translationSystem designAttention to data quality
Tech Stack:PythonJavaScalaSnowflake CortexCodexClaude CodeDimensional modelingData VaultOne Big TableBatch pipelinesStreaming pipelinesSemantic layerMetric layer

Company Brief

Zoom Video Communications
Provides video conferencing, chat, phone, webinar, and collaboration software for businesses, schools, and individuals. Its platform is widely used for remote meetings, virtual events, and hybrid work communication.
Industry: SaaS
Company Size: Enterprise (1,001+ employees)
Revenue: USD 1B+
Growth: Public Company
Valuation: Public Company (Market Cap in USD)
Funding: IPO / Publicly Listed
Headquarters: San Jose, United States
Founded: 2011
WebsiteLinkedIn