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.

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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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.

Actual base salary will vary based on several factors, including but not limited to relevant skills, prior experience, education, demonstrated performance, and geographic location.

Massachusetts: The expected base salary for the position is between 160,000 USD to 165,000 USD.

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