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NEXTMOVEFDE careers · United States
SS&C

Principal Data Engineer

AI summary of the role

Lead the design and development of scalable real-time data platforms and distributed processing systems using Java, Apache Kafka, Apache Flink, and AWS.

No longer in the current catalog. Last included 2026-09-09. Check the employer’s posting for availability.

What you’ll do

  • Lead design and development of scalable real-time data platforms and event-driven streaming solutions using Apache Kafka, Apache Flink, Java, Spring Boot, and AWS.
  • Design and implement high-performance batch and streaming data pipelines with advanced stream-processing capabilities.
  • Develop scalable microservices, REST APIs, reusable data frameworks, and enterprise data processing components.
  • Drive platform modernization, technical design reviews, and adoption of innovative technologies.

What you’ll bring

  • Strong expertise in Java, Spring Boot, REST API development, and Microservices Architecture
  • Strong hands-on experience with Apache Kafka, Kafka Connect, Kafka Streams, Apache Flink, and AWS MSK
  • Extensive experience designing and developing cloud-native applications on AWS
  • Solid expertise in Kubernetes, Docker, Terraform/CloudFormation, ECS, and EKS environments

Technologies

Java · Spring Boot · Apache Kafka · Kafka Connect · Kafka Streams · Apache Flink · AWS · Kubernetes · Docker · Terraform · CloudFormation · ECS

About SS&C

Software and outsourced operations for asset managers, hedge/private funds, insurers, and healthcare payers — fund admin, accounting, transfer agency, and middle/back-office tech at global scale.

Public · 5000+ people

Source and classification

Internal deployment & tooling · Evidence for this classification:

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Principal Data Engineer Locations: Waltham, MA - Hybrid About the Role We are seeking a highly skilled and hands-on Principal Data Engineer to lead the design, and development of scalable real-time data platforms and distributed data processing systems. This role requires deep expertise in Java-based backend engineering, microservices architecture, event-driven systems, Apache Kafka, Apache Flink, cloud-native platforms, and AWS technologies. The ideal candidate will have extensive experience building enterprise-scale
More from the job description

As a leading financial services and healthcare technology company based on revenue, SS&C is headquartered in Windsor, Connecticut, and has 27,000+ employees in 35 countries. Some 20,000 financial services and healthcare organizations, from the world's largest companies to small and mid-market firms, rely on SS&C for expertise, scale, and technology. Job Description Principal Data Engineer Locations: Waltham, MA - Hybrid About the Role We are seeking a highly skilled and hands-on Principal Data Engineer to lead the design, and development of scalable real-time data platforms and distributed data processing systems. This role requires deep expertise in Java-based backend engineering, microservices architecture, event-driven systems, Apache Kafka, Apache Flink, cloud-native platforms, and AWS technologies. The ideal candidate will have extensive experience building enterprise-scale streaming platforms, developing resilient microservices, optimizing large-scale data pipelines, and driving engineering best practices. This role will collaborate closely with Product, Architecture, Application Development, Analytics, SRE, and DevOps teams to deliver highly scalable, reliable, and high-performance data solutions. Why Join SS&C SS&C combines proprietary technology with deep industry expertise to support complex financial and health care operations. Our teams design, implement, an [... source excerpt omitted ...] u will work with industry experts, modern platforms, and evolving technologies, gaining exposure to real-world operational challenges and large-scale enterprise environments. How You Will Make an Impact Lead the design, and development of scalable real-time data platforms and event-driven streaming solutions using Apache Kafka, Apache Flink, Java, Spring Boot, and AWS cloud-native technologies. Design and implement high-performance batch and streaming data pipelines with advanced stream-processing capabilities including stateful processing, windowing, event-time processing, checkpointing, fault tolerance, and exactly once semantics. Develop scalable microservices, REST APIs, [... source excerpt omitted ...] servability, monitoring, alerting, logging, data quality validation, and reconciliation frameworks to ensure operational excellence and platform reliability. Troubleshoot complex production issues, perform root-cause analysis, and collaborate with SRE and DevOps teams to improve platform stability, scalability, and deployment automation. Provide technical leadership, mentorship, and guidance to engineering teams while driving best practices, governance, and continuous improvement initiatives. Required Experience Strong expertise in Java, Spring Boot, REST API development, and Microservices Architecture Proficiency in Python is preferred; experience with Node.js is a plus Stro

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