Global Transaction Banking (GTB) is a key growth business within TDS that provides the opportunity to make an impact with top-tier organizations. We offer innovative solutions and treasury advisory services on large and complex liquidity, payments, and trade finance needs. Business constantly changes with macroeconomic conditions, unprecedented levels of innovation, interest rate environments, and foreign exchange movements. As a result, all GTB business lines continue to evolve to provide optimum trade finance, liquidity, and payment solutions to clients.  

Global Transaction Banking technology team focuses on delivering top-tier technology solutions to enable and grow the global GTB business.  

Summary  

TDS has embarked on a multi-year digital transformation of GTB to position the transaction bank as a leading North American multi-currency treasury provider, enabling significant business growth across the TDS franchise.  

This role presents an opportunity to design and develop the building of the next-generation of GTB's transaction banking capabilities to (i) extend a highly successful GTB business into the US; and (ii) to future-proof business with a platform that can evolve at minimal cost as client and industry needs & expectations continue to evolve.  

We are looking for a talented Data and Platform Engineer to join the team of Global Transaction Banking Data platform.  

You are a senior leader who thrives in the technology space. You enjoy designing and building systems. You can chart the course, establish direction and see implementation to completion. You are obsessed with client outcomes and drive technological solutions to achieve them. 

Responsibilities  

• Define, design, and deliver scalable solutions for the Global Transaction Banking Data Platform, driving the evolution of modern data and platform engineering capabilities.

• Provide technical leadership in establishing reference architectures, engineering standards, and design patterns, while shaping long-term platform roadmaps aligned with business objectives.

• Partner with business and technology stakeholders to drive platform adoption and ensure successful implementation that meets engineering and architectural standards.

• Own and continuously evolve platform documentation to reflect system changes, ensuring clarity and consistency across the engineering ecosystem.

• Maintain a strong focus on platform resilience and reliability, ensuring systems are designed to gracefully handle upstream and downstream failures.

• Estimate and plan engineering efforts required to deliver scalable and sustainable platform solutions.

• Build and maintain strong, collaborative relationships across engineering teams, product groups, and business stakeholders.

• Communicate complex technical concepts clearly to diverse audiences, including both technical and non-technical stakeholders.

• Proactively identify technical debt and define strategies to prioritize, manage, and eliminate it.

• Operate with a high degree of autonomy, driving initiatives independently in a fast-paced and dynamic environment.

• Champion a high-performance engineering culture that promotes inclusion, innovation, and continuous improvement.

• Drive adoption of Agile principles and foster a product-oriented, iterative engineering mindset.

• Promote a customer-centric platform approach, enabling enhanced client experiences through strong data and system capabilities.

Required Skills

A successful candidate will possess:

• Strong hands-on development experience in modern programming languages such as Java and Python

• Deep experience designing and building RESTful and GraphQL APIs using frameworks such as Spring Boot

• Extensive experience with relational (Oracle/SQL) and NoSQL databases (MongoDB, Neo4J)

• Strong expertise in data modeling, including graph-based data models

• Proven experience building and scaling big data platforms using technologies such as Apache Spark and Databricks

• Hands-on experience with event-driven architectures and streaming platforms (Kafka, Solace, MQ, Confluent)

• Experience building stream processing systems (e.g., Apache Flink)

• Strong understanding of non-functional requirements, including security, scalability, performance, and optimization

• Experience working with large-scale distributed systems and modern backend architectures

• Familiarity with containerization and orchestration (Kubernetes, OpenShift, ECS)

• Working knowledge of DevOps practices and CI/CD pipelines

• Understanding of GenAI and LLMs, and their application in engineering and platform development

• Ability to operate effectively in a fast-paced, evolving environment

• Strong system design and analytical skills

• Experience working in Agile environments (Scrum methodologies)

• Proficiency in troubleshooting using tools such as Splunk, Kibana, Dynatrace, Datadog

• Excellent problem-solving and critical thinking skills

• Experience working across multi-cloud environments, with preference for Microsoft Azure

• Strong communication skills, with the ability to influence stakeholders across all levels

Education/Experience:  

• Bachelor's degree/University degree or equivalent experience   

• Master's degree preferred  

• 7+ years of relevant experience  

Nice to have  

• Cash Management/Transaction Banking experience   

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