Principal Software Engineer, Semantic Data Platform Leader

WEX Inc.

United States

On-site

USD 201,000 - 250,000

Full time

5 days ago
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Benefits offered by this job

Health insurance
Retirement plan
Paid time off
Tuition reimbursement
Disability insurance

Job summary

WEX Inc. is hiring a Principal Software Engineer to shape the Semantic Data Services and the Data-as-a-Service platform.

You will define architecture for semantic data objects, align with business domains, and build scalable patterns across the enterprise while mentoring engineers and staying hands-on with core components. You will collaborate with AI, product, analytics, risk, finance, and business teams to translate complex concepts into durable data representations and robust platform

Qualifications

  • Ten-plus years in software/Data engineering or distributed systems.
  • Experience designing scalable data platforms and semantic models.
  • Proficiency with semantic data technologies, ontology, and knowledge graphs.
  • Ability to translate complex business concepts into scalable technical abstractions.
  • Strong architectural judgment and leadership across teams.

Responsibilities

  • Define architecture and technical direction for semantic data lake and DaaS platform.
  • Build semantic objects combining data, context, lineage, and governance.
  • Develop scalable patterns, APIs, and developer experiences for data products and AI.
  • Mentor engineers and influence cross-team architectural decisions.
  • Remain hands-on with critical platform components and prototyping.

Skills

Distributed systems
Data engineering
Semantic data
Ontology
Knowledge graphs
Mentorship
Architecture
API design

Tools

Spark
Flink
Kafka
Iceberg
Snowflake
Databricks
Graph databases
Cloud-native data services

Job description

WEX Inc. is hiring a Principal Software Engineer to shape the Semantic Data Services and the Data-as-a-Service platform.

You will define architecture for semantic data objects, align with business domains, and build scalable patterns across the enterprise while mentoring engineers and staying hands-on with core components. You will collaborate with AI, product, analytics, risk, finance, and business teams to translate complex concepts into durable data representations and robust platform

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