WEX
Sr Staff Software Engineer- Data Platform
US - Remote · Staff+
Sponsorship not specified$220k-$256kDetected 1 day ago
PythonJavaSpringDistributed SystemsData StructuresAlgorithmsGitSQLSnowflakeDatabricksVector DatabasesAWSKubernetesTerraformCI/CDPlatform EngineeringSparkdbtData EngineeringData VisualizationLLMsAgentic AIAI OrchestrationUnity
About the role
- You will operate at the intersection of Systems Programming and Data Engineering, solving "hard-tech" problems like automated schema evolution, multi-engine compute optimization, and global data discovery.
- Architectural Sovereignty: Define the 3-5 year technical roadmap for the Data Lakehouse.
- 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.
Responsibilities
- Platform-as-a-Product: Build internal SDKs, CLI tools, and automated orchestration frameworks.
- Global Governance & Security: Architect "compliance-by-design" systems. Automate data lineage, PII masking, and fine-grained access control across petabyte-scale environments without sacrificing developer velocity.
- AI Governance Lake: Facilitate real-time data ingestion by implementing streaming support for Open Telemetry data from AI Agents into the Data Lake, drive the development of advanced AI evaluation metrics and reporting.
- Engineering Excellence & Influence: Set the gold standard for code quality and system design across the company.
- You will lead Cross-Functional Architecture Reviews and serve as the final escalation point for the most complex system outages or performance bottlenecks.
- Strong Software Foundations: Strong fundamentals on software engineering, system architecture, and scalable production applications (Algorithms, Data Structures, and System Design).
- Data as a Product: Experience building the platforms / framework engines and APIs that power data movement, rather than just building the ETL/ELT pipelines themselves.
- Consistency" or "Build vs.
Requirements
- Deep internal knowledge of Apache Iceberg, Hudi, or Delta Lake (metadata management, manifest files, and compaction strategies).
- Experience contributing to or deeply customizing open-source data projects (e.g., Spark, dbt ).
- Extensive experience with cloud architecture and services, including AWS (S3, EMR, Kubernetes, Lambda) and Azure.
- Ability to architect the infrastructure required to support AI Agent development by enabling vector database integration.
- Actual pay rates will vary and will be based on various factors, such as your qualifications, skills, competencies, and proficiency for the role.
- you are deciding how storage, compute, and metadata layers (e.g., Apache Iceberg, Snowflake Horizon or Databricks Unity Catalog ) interact at an elemental level.
Nice to have
- Bachelor's or Master's degree in Computer Science (Distributed Systems focus) preferred, or equivalent deep industry experience.
Skills
- Define the 3-5 year technical roadmap for the Data Lakehouse.
Compensation
- $220,000.00 - $255,800.00
- The base pay range represents the anticipated low and high end of the pay range for this position.
- Base pay is one component of WEX's total compensation package.
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.
- Non-sales roles are typically eligible for a quarterly or annual bonus based on their role and applicable plan.
Company info
- As a Sr. Staff Data Platform Engineer, you will be the primary architect and visionary for the core data infrastructure that powers the entire enterprise. This is a "platform-as-a-product" role
- your mission is to build the internal foundation-creating the high-performance engines, abstraction layers, and self-service frameworks that enable hundreds of other engineers to move faster.
- You will operate at the intersection of Systems Programming and Data Engineering, solving "hard-tech" problems like automated schema evolution, multi-engine compute optimization, and global data discovery. As a top-level technical individual contributor, you will bridge the gap between long-term business strategy and deep-kernel technical execution, ensuring WEX's data platform remains a competitive advantage.
- Is this role for you?
- Staff Data Platform Engineer, you will be the primary architect and visionary for the core data infrastructure that powers the entire enterprise.
- This is a "platform-as-a-product" role; your mission is to build the internal foundation-creating the high-performance engines, abstraction layers, and self-service frameworks that enable hundreds of other engineers to move faster.
- As a top-level technical individual contributor, you will bridge the gap between long-term business strategy and deep-kernel technical execution, ensuring WEX's data platform remains a competitive advantage.
- YES, if: You are a Backend/Software Engineer who loves solving "Big Data" problems, building APIs for data discovery, and optimizing distributed systems.
- NO, if: Your primary expertise is writing SQL queries, building Tableau dashboards, or managing ETL workflows without deep experience in Java or Python system architecture.
- Experience in the Java/J2EE ecosystem (Spring Boot, Microservices) and python. We are looking for a developer who writes clean, testable, and high-performance code, not just scripts.
- For more information, check out the "About Us" section.
This listing is sourced directly from WEX's careers page and normalized into a canonical job model.