Principal Data Engineer

About this role

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, and   operate   solutions that help clients manage data, automate processes, and scale their businesses with confidence.    

You 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, reusable data frameworks, and enterprise data processing components.  

• Drive platform modernization, technical design reviews, engineering standards, and adoption of innovative technologies to improve scalability, reliability, performance, and operational efficiency.  

• Design and   maintain   cloud-native infrastructure, CI/CD pipelines, deployment automation, and containerized applications using Kubernetes, Docker, Terraform/CloudFormation, ECS/EKS, and AWS services including S3, MSK, Redshift, Aurora, RDS, Lambda, Glue, and CloudWatch.  

• Design   optimized   relational and analytical data models using Oracle, PostgreSQL, Redshift, and Aurora, including performance tuning, indexing, partitioning, and query optimization.  

• Implement observability, 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  

• 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  

• Strong knowledge of Oracle, PostgreSQL, Amazon Redshift, and Amazon Aurora databases  

• Experience with data modeling, database optimization, query tuning, indexing, and performance improvement strategies  

• Proven experience developing and maintaining CI/CD pipelines using Jenkins, GitHub Actions, GitLab CI/CD, Maven/Gradle, and SonarQube  

• Strong   expertise   in monitoring, logging, and observability tools including CloudWatch, Prometheus, Grafana, ELK Stack, and related operational frameworks  

What Sets You Apart

• Bachelor’s or master’s   degree in computer science, Engineering, Information Systems, or a related field  

• 8+ years of software engineering or data engineering experience  

• 5+ years of hands-on experience with Apache Kafka and event-driven architectures  

• 4+ years of experience with Apache Flink and real-time stream processing  

• Strong experience designing scalable, fault-tolerant, and   highly available   distributed systems  

• Proven experience leading enterprise-scale platform initiatives and mentoring engineering teams  

Join SS&C, where innovation meets global opportunities.   Click here   to   apply.   

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Unless explicitly requested or approached by SS&C Technologies, Inc. or any of its affiliated companies, the company will not accept unsolicited resumes from headhunters, recruitment agencies, or fee-based recruitment services.     SS&C Technologies offers a comprehensive total rewards package designed to support your wellbeing, growth, and future. Our benefits include medical, dental, and vision coverage; a 401(k) plan with company match; paid time off, holidays, and parental leave; and professional development reimbursement opportunity.    

Applications will be accepted on an ongoing basis until the position is filled.    

SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against an

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