3 days ago
Melbourne, AustraliaStaff+
Responsibilities
- Architect and develop scalable software, APIs, and batch or streaming data pipelines.
- Lead the design and implementation of enterprise Master Data Management capabilities, including identity resolution, golden records, matching, survivorship, relationships, hierarchies, and reference data.
- Build reusable platform components for validation, data contracts, orchestration, retries, audit logging, lineage, and reconciliation.
- Apply AI-assisted development across solution design, coding, testing, debugging, and documentation, and build AI-enabled capabilities where valuable.
- Improve platform performance, reliability, observability, security, and cost efficiency.
- Establish automated testing and CI/CD practices for software, data models, integration logic, and platform configuration.
- Lead production troubleshooting, root-cause analysis, and preventive improvements.
- Mentor engineers and partner with Product, Architecture, Data, Risk, and Governance teams to shape technical direction.
Requirements
- 8+ years of software engineering experience, including distributed systems, cloud platforms, or large-scale data solutions.
- Strong software engineering fundamentals and advanced development experience with Python, Java, or another modern programming language.
- Experience building production APIs, cloud services, data pipelines, and batch or event-driven integrations.
- Hands-on experience using AI-assisted development tools and building AI-enabled solutions using model APIs, retrieval patterns, agents, or similar technologies.
- Understanding of AI risks, including accuracy, security, privacy, model limitations, and validation of AI-generated outputs.
- Strong knowledge of automated testing, CI/CD, observability, data contracts, schema evolution, lineage, and data quality.
- Ability to lead architecture decisions, troubleshoot complex production problems, mentor engineers, and influence technical direction.
- Preferred experience building enterprise MDM solutions, including identity resolution, matching, survivorship, golden records, and commercial platforms such as Reltio.
- Preferred knowledge of crosswalks, hierarchies, relationships, reference data, data stewardship, data quality, Customer 360, customer onboarding, Search Before Create, or enterprise identity services.
- Preferred experience with Snowflake, dbt, Kafka, AWS, S3, infrastructure as code, cloud observability platforms, legacy data or MDM modernization, and financial services, payments, risk, or other regulated environments.
Tech Stack
Categories
BackendData Engineering
About 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 benefits, reimagining mobility and paying and getting paid, WEX aims to make it easy for companies to overcome complexity and reach their full potential. For more information, please visit www.wexinc.com.