Sr Staff SWE, Data Lake Engineering

$156,000 - $208,000/Yr

WEX - Portland, ME

Full-time - Senior

Portland, ME

Credit Intermediation and Related Activities

About the position

The Data Lake Engineering team at WEX builds a unified, scalable data platform supporting AI and machine learning applications across the company. They collaborate with departments like Data & Analytics, Security, and Risk to enhance data accessibility, scalability, and innovation, aiming to drive WEX's tech transformation and support a growing customer base. The Sr Staff SWE, Data Lake Engineering will lead the technical architecture and development of WEX's Data Lake platform. Reporting to the VP of Data Lake and AI Engineering, they'll ensure quality, security, and scalability while integrating with company-wide platforms. The ideal candidate brings deep expertise in data lake environments and hands-on leadership skills.

Responsibilities

• Lead and drive the development of technology and platform for the company's Data Lake needs, ensuring functional richness, reliability, performance, and flexibility of the Data Lake Platform.
• Help design the architecture and lead the implementation of the Data Lake platform and services.
• Challenge the status quo and hold a high bar to drive for better technical solutions to effectively serve all needs in the broad risk area of WEX.
• Guide your team to leverage data and/or AI technology or tools in your design and development for high productivity and better solution quality.
• Closely partner with other senior engineers across the organization to understand business needs and jointly develop technical solutions.
• Partner closely with information security teams to ensure the security and privacy of data, implementing encryption and access controls as required.
• Collaborate with solutions architecture and LOB product and engineering organizations on integrations of the Data Lake Platform with their products/systems.
• Engage with external partners and vendors to evaluate technologies and services that complement the company's Data Lake strategy.
• Create, prioritize, communicate, manage, and execute roadmaps, project plans, and commitments.
• Report on the status of development, quality, operations, and system performance to management and partners.
• Drive the technical vision and strategy of Data Lake to serve business needs for the near and long term.
• Set a high bar, provide technical guidance and effective training & mentorship to the engineering teams, and foster an environment of continuous learning and innovation.
• Set clear, measurable quality goals for your group in a data-driven way.
• Partner with the security and SRE organizations to ensure continuous improvement and meeting of security requirements, SLOs, and error budget.
• Take strong financial responsibility for your team and hold yourself and your team accountable for delivering quality results using defined OKRs.
• Advise Senior Leadership team on highly complex situations that impact the organization and lead teams through initiatives, driving excellent quality results.

Requirements

• 15+ years of software design and development experience at a large scale.
• Strong software development skills in chosen programming language, with readiness to learn and program in Java and Python.
• Broad understanding of Data Lakehouse formats like Apache Hudi, Apache Iceberg, or Delta Lake is a big plus.
• Demonstrable experience in Spark programming.
• Experience with Spark on DBT with AWS Glue or Apache Polaris is a plus.
• Broad understanding of cloud architecture tools and services, such as S3, EMR, Kubernetes, Lambda functions; experience in AWS and Azure is highly desirable.
• Deep technical hands-on experience in architecture design, development, deployment, and production operation; familiar with agile software development and modern development tools and frameworks.
• Rich experience and deep expertise in Big Data and large scale data platforms, especially in Data Lake.
• Highly experienced and deep understanding of CI/CD automation.
• Rich experience in combined engineering practice and agile development.
• Excellent analytical skills; capability in identifying and resolving complex problems.
• Understanding of and experience in payment organizations is a plus.
• Ability to encourage and foster a culture of visibility and transparency across teams.
• Strong written and verbal communication skills.
• Strong philosophy of continuous improvement.
• Bachelor's degree in Computer Science or a related field; a higher degree in a related field is a plus.

Nice-to-haves

• Experience in leading and guiding teams for effective development using agile approaches.
• Mentorship experience for individual contributors of different seniority levels and expertise.

Benefits

• Health insurance
• Dental insurance
• Vision insurance
• Retirement savings plan
• Paid time off
• Health savings account
• Flexible spending accounts
• Life insurance
• Disability insurance
• Tuition reimbursement
• Quarterly or annual bonus based on role and applicable plan.