Staff Data Platform Engineer: AI‑Driven MDM & Data Quality

WEX Inc.; City of Melbourne; On-site; AUD 150,000 - 210,000; Full time

Job summary

WEX Inc. is seeking a Staff Software Engineer to architect and evolve core data platform capabilities, focusing on enterprise Master Data Management and AI‑driven data solutions.

You will design production software, APIs, data services, and integration frameworks that ensure trusted identities, relationships, and gold records across WEX. The role combines strong software engineering with architectural leadership and mentoring, delivering scalable data pipelines and robust platform components in

Qualifications

• 8+ years of software engineering experience with distributed systems or large‑scale data solutions.
• Strong programming skills in Python or Java and hands‑on API, data pipelines, and cloud services.
• Experience with AI‑assisted development tools and AI‑enabled data capabilities.
• Knowledge of automated testing, CI/CD, observability, and data quality.

Responsibilities

• Architect and develop scalable software, APIs, and data pipelines.
• Lead enterprise MDM capabilities including identity resolution and golden records.
• Build reusable platform components for validation, contracts, orchestration, and lineage.
• Apply AI‑assisted development across design, coding, testing, and documentation.
• Mentor engineers and collaborate with Architecture, Data, Risk, and Governance teams.

Skills

Python

Java

Distributed systems

AI-assisted development

Mentoring

Tools

Snowflake

Kafka

dbt

AWS

S3

Infrastructure as code

Cloud observability

Job description

WEX Inc. is seeking a Staff Software Engineer to architect and evolve core data platform capabilities, focusing on enterprise Master Data Management and AI‑driven data solutions.

You will design production software, APIs, data services, and integration frameworks that ensure trusted identities, relationships, and gold records across WEX. The role combines strong software engineering with architectural leadership and mentoring, delivering scalable data pipelines and robust platform components in