Senior Software Engineer

About the role

Client's Data & Analytics organization is seeking a technically strong Senior Software Development Engineer to contribute to the architecture, design, and development of our data platforms. This role will contribute to the implementation of platforms that simplify how external data is securely exchanged with client and enable product teams, consultants, and analysts to more easily discover, access, and leverage enterprise data. This role involves close collaboration with your immediate team as well as other development teams across programs to align on shared goals, contribute to cross-cutting initiatives, and deliver cohesive, enterprise-grade solutions. You will participate in design and code reviews, contribute to engineering best practices, and support operational excellence. You will work effectively across global time zones, contribute to a strong engineering culture, and continuously grow your technical skills while helping the team deliver reliable, high-quality software.

Responsibilities

• Design, build, and maintain scalable data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments.
• Develop and optimize data-intensive applications leveraging Databricks, Spark, and related platforms to efficiently process, transform, and serve data.
• Build features that support enterprise data onboarding, exchange, discovery, and consumption capabilities.
• Contribute to architecture and system design, collaborating with cross-functional teams to deliver scalable, high-quality solutions aligned with engineering best practices.
• Write clean, maintainable, and efficient code, applying strong practices in testing, code reviews, and continuous improvement.
• Identify and resolve performance bottlenecks across services, APIs, data-processing workloads, and user experience.
• Collaborate with Product, Engineering, Data Governance, Security, and business stakeholders to understand requirements for your area of work.
• Mentor and support team members while contributing to a collaborative, growth-oriented engineering culture.
• Continuously learn and improve, staying current with technologies and driving enhancements in quality, scalability, and developer productivity.

Qualifications

The ideal candidate is a collaborative, technically strong full-stack engineer who is passionate about building scalable, data-intensive platforms. They are comfortable working across application, service, and data-processing layers and can contribute effectively in a fast-paced, agile engineering environment.

• Experience as a full-stack Software Engineer, with exposure to building platforms using modern technologies such as Java/Spring Boot, TypeScript, and React.
• Experience building large-scale data platforms, distributed systems, and enterprise integration solutions across both on-premises and cloud environments, leveraging technologies such as Spark, Kafka, Flink, NiFi, Hadoop/Cloudera, Databricks, and modern cloud-native data services.
• Experience integrating AI driven capabilities into data platforms, with appropriate governance and guardrails for emerging use cases, including agentic commerce.
• Experience building reusable platforms that serve multiple products, teams, or business domains.
• Foundational understanding of software engineering principles, including object-oriented programming, API design, and scalable system design, is preferred.
• Interest in working with data-intensive applications, including improving performance, scalability, and reliability across services and data-processing layers.
• Strong collaboration and communication skills, with the ability to work effectively with cross-functional teams.
• Curiosity, self-motivation, and a strong willingness to learn, with a growth mindset and interest in solving analytical, data-driven problems in an agile, fast-paced environment.
• Bachelor s or Master's degree in Computer Science, Engineering, Data Science, or a related quantitative field, or equivalent practical experience

Skills

• Data Engineering and Processing in Databricks/Hadoop using PySpark/SQL
• Java (backend) + React/TypeScript (frontend), CI/CD, testing and optimization
• Data Governance, security, and utilizing reusable frameworks