Job Summary:
WEX is transforming into a data-driven enterprise through its modern Data-as-a-Service (DaaS) platform. As a Principal Staff Software Engineer, you will play a pivotal role in shaping WEX’s DaaS platform end-to-end, driving the unification of data acquisition, semantic modeling, and data products for analytics and customer-facing experiences.
Responsibilities:
• Architect the DaaS platform end-to-end: Define the next generation of WEX’s enterprise data stack spanning ingestion, semantic data modeling, metadata, and product delivery.
• Establish platform standards: Set reusable frameworks for ingestion, modeling, lineage, observability, and access control that accelerate adoption across domains.
• Guide technical strategy at scale: Partner with senior engineering, product, and business leaders to align data architecture with WEX’s strategic objectives. Solve for scale, reliability, and trust: Design systems that handle billions of records, guarantee semantic consistency, and deliver auditable, governed data assets. Mentor and multiply: Coach senior staff engineers and architects, instilling best practices in distributed systems, platform reliability, and semantic clarity.
• Drive innovation: Explore and incorporate modern open-source and cloud-native technologies (e.g., Spark, Iceberg, Kafka, Delta, DBT, Ray, ML-ready data services).
• Be the bridge: Collaborate across Data Acquisition, Semantic Modeling, Data Products, and Governance teams to ensure WEX’s data is trusted, consistent, and usable across every business domain.
Qualifications:
Required:
• 12–15+ years of experience in software or platform engineering, with a proven track record of building and scaling large-scale data platforms.
• Expertise in distributed systems, data acquisition, and semantic modeling, with architectural ownership of systems processing tens of millions to billions of records per day.
• Demonstrated ability to set cross-domain architectural standards and influence adoption across multiple engineering teams.
• Strong background in data lifecycle management (versioning, auditability, observability, lineage, reproducibility).
• Deep experience with modern data ecosystems: streaming (Kafka, Flink), batch (Spark, DBT), storage (Iceberg, Delta), orchestration (Airflow, Dagster), and APIs.
• Exceptional communication and leadership skills—you can inspire engineers, influence executives, and build consensus across technical and business stakeholders.
• A passion for creating platforms that endure: trusted, consistent, and empowering for analytics, AI, and products enterprise-wide.
Company:
Wex is a financial technology service provider for fleet, travel and healthcare industries. Founded in 1983, the company is headquartered in Portland, USA, with a team of 5001-10000 employees. The company is currently Late Stage.