Principal Data Engineer

Principal Data Engineer

Locations:Waltham MA - Hybrid

About the Role

We areseekinga highly skilled and hands-onPrincipal Data Engineerto lead the design and development of scalable real-time data platforms and distributed data processing systems. This role requires deepexpertisein Java-based backend engineeringmicroservicesarchitecture 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 microservicesoptimizinglarge-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 industryexpertiseto support complex financial and health care operations. Our teams design implement andoperatesolutions 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 andexactly oncesemantics.

• 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 andmaintaincloud-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.

• Designoptimizedrelational 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

• Strongexpertisein Java Spring Boot REST API development and Microservices Architecture

• Proficiencyin Python is preferred; experience with 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

• Solidexpertisein 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

• Strongexpertisein monitoring logging and observability tools including CloudWatch Prometheus Grafana ELK Stack and related operational frameworks

What Sets You Apart

• Bachelors or mastersdegree 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 andhighly availabledistributed systems

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

Join SS&C where innovation meets global opportunities.Click heretoapply.

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