Sr Staff Software Engineer- Data Platform

Responsibilities

• Architectural Sovereignty: Define the 3-5 year technical roadmap for the Data Lakehouse.
• Platform-as-a-Product: Build internal SDKs, CLI tools, and automated orchestration frameworks.
• Internal R&D: Prototype and benchmark emerging technologies (e.g., specialized Spark extensions).
• Global Governance & Security: Architect "compliance-by-design" systems.
• AI Governance Lake: Facilitate real-time data ingestion by implementing streaming support for Open Telemetry data from AI Agents into the Data Lake.
• Engineer Excellence & Influence: Set the gold standard for code quality and system design across the company.
• Organizational Mentorship: Foster an "Engineering Community," influencing the hiring bar and professional development paths for the entire data engineering organization.

Qualifications & Experience

• Experience: 15+ years in software engineering and distributed systems, with at least 4 years in a principal or staff-level capacity leading platform-scale initiatives.
• Core Technical Competencies (Software Engineering Focus): Strong Software Foundations, Strong fundamentals on software engineering, system architecture, and scalable production applications (Algorithms, Data Structures, and System Design), Experience in the Java/J2EE ecosystem (Spring Boot, Microservices) and python, Extensive experience designing and building high-throughput, fault-tolerant data pipelines and orchestration frameworks that ensure robust data transformations and high data quality, Extensive experience contributing to or deeply customizing open-source data projects (e.g., Spark, dbt).
• Cloud & Infrastructure: Extensive experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and Azure, Deep understanding of CI/CD automation, modern development tools, Git Actions, Terraform and frameworks.
• AI-Driven Development & Productivity: AI Native Development, Experience leveraging AI Code Gen platforms into software development lifecycle (SDLC) to automate code generation, reviews, generate unit tests, and perform root-cause analysis of system failures, LLM-Ops for Platform, Ability to architect the infrastructure required to support AI Agent development by enabling vector database integration.
• Leadership & Vision: Proven track record of "leading by influence"—driving adoption of new technologies across multiple autonomous teams, Ability to communicate complex architectural trade-offs (e.g., "Latency vs. Consistency" or "Build vs. Buy") to C-suite executives and junior engineers alike.
• Education: Bachelor’s or Master’s degree in Computer Science (Distributed Systems focus) preferred, or equivalent deep industry experience.

Pay

The base pay range represents the anticipated low and high end of the pay range for this position. Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role. Base pay is one component of WEX's total compensation package. Most sales positions are eligible for commission under the terms of an applicable plan. Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan. WEX's comprehensive and market competitive benefits are designed to support your personal and professional well-being. Benefits include health, dental and vision insurances, retirement savings plan, paid time off, health savings account, flexible spending accounts, life insurance, disability insurance, tuition reimbursement, and more. For more information, check out the "About Us" section.