WEX is transforming into a data-driven enterprise through its modern Data-as-a-Service (DaaS) platform and needs world-class technical leadership to shape the platform end-to-end
Requirements
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.
Experience with modern open-source and cloud-native technologies (e.g., Spark, Iceberg, Kafka, Delta, DBT, Ray, ML-ready data services)
12–15+ years of experience in software or platform engineering, with a proven track record of building and scaling large-scale data platforms.
Strong background in designing systems that handle billions of records, guarantee semantic consistency, and deliver auditable, governed data assets.
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.
Other
A passion for creating platforms that endure: trusted, consistent, and empowering for analytics, AI, and products enterprise-wide.
Exceptional communication and leadership skills—you can inspire engineers, influence executives, and build consensus across technical and business stakeholders.
12–15+ years of experience in software or platform engineering
Ability to mentor and coach senior staff engineers and architects
Ability to work with various stakeholders, including senior engineering, product, and business leaders
