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Principal Software Engineer

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Principal Software Engineer in USA new

  • Remote

Responsibilities

  • Define architecture and technical direction for the Semantic Data Lake and next-generation Data-as-a-Service platform.
  • Design and build semantic business objects containing enterprise data, relationships, business context, metrics, rules, lineage, quality, and governance.
  • Develop scalable frameworks and standards for semantic objects across multiple business domains.
  • Build platform capabilities for semantic modeling, ontology, metadata, knowledge graphs, data quality, lineage, data contracts, and governance.
  • Translate complex business concepts into reusable technical models and platform capabilities.
  • Enable AI and agentic applications to discover, understand, reason over, and safely use trusted enterprise data.
  • Design reusable APIs, services, frameworks, and developer experiences for data products and AI experiences.
  • Solve distributed systems, data processing, scalability, reliability, and performance challenges.
  • Establish architectural standards, influence adoption across teams, mentor engineers, and provide technical guidance.
  • Remain hands-on with architecture, design, prototyping, code, and critical platform components.

Requirements

  • 10+ years of experience in software engineering, data engineering, distributed systems, data platforms, or related technology areas.
  • Experience operating at Staff, Principal, or equivalent technical scope.
  • Deep software engineering and distributed systems expertise building large-scale production platforms.
  • Strong understanding of modern data architecture, large-scale data processing, streaming, lakehouse architectures, data products, and distributed systems.
  • Deep understanding of semantic data technologies; direct experience building a semantic data layer is strongly recommended.
  • Experience with semantic modeling, ontology, metadata platforms, knowledge graphs, data catalogs, enterprise data modeling, or related technologies.
  • Ability to translate complex business concepts into scalable abstractions and reusable platform capabilities.
  • Understanding of data quality, governance, lineage, security, privacy, and operational reliability.
  • Experience building platforms adopted by multiple engineering teams, business domains, or product organizations.
  • Strong architectural judgment, technical influence, cross-functional alignment, and communication skills.
  • Preferred experience with AI/ML, generative AI, RAG, agentic applications, knowledge representation, semantic search, context engineering, graph technologies, or modernization of enterprise data ecosystems.
  • Preferred experience with Spark, Flink, Kafka, Iceberg, Snowflake, Databricks, cloud-native data services, graph databases, or equivalent large-scale data technologies.

Benefits

  • Health, dental, and vision insurance.
  • Retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, and tuition reimbursement.
  • Non-sales roles are typically eligible for a quarterly or annual bonus under the applicable plan.

Salary: $201k - $250k/yr

WEX

WEX (NYSE: WEX) is the global commerce platform that simplifies the business of running a business. WEX has created a powerful ecosystem that offers seamlessly embedded, personalized solutions for its customers around the world. Through its rich data and specialized expertise in simplifying benef...

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