Job Title:Data PlatformSoftwareEngineer
Location:Kansas City, MO (Remote Eligible)
We are seeking a skilled Data Platform Software Engineer to join our Data Platform team in Kansas City, MO. In this role, you will design, code, implement, support, and optimize a cloud-native data stack that leverages best-in-class open-source tools. The ideal candidate will design, build, support, and maintain an opinionated, resilient, and scalable data platform in a private cloud environment—enabling data-driven decision-making, analytics, and machine learning, while providing out-of-the-box deep insights. This role blends data engineering, software development, and infrastructure management, leveraging languages and tools such as Java, Python, Apache Iceberg, Flink, Spark, Kafka, and Trino.
Develop andmaintainrobust, fault-tolerant data ingestion and transformation pipelines usingJava,Python,Apache Flink, Spark, and Trino.
Define flexible and scalable data schemas using Apache Iceberg.
Support both batch and real-time data processing, including integration with Apache Kafka.
Ensure reliability, observability, and integrity of data pipelines.
Metadata Management & Data Governance
Supportmetadata management platforms such asDataHubfordata cataloging, lineage, and governance use cases.
Collaborate with data stakeholders to align metadata solutions with organizational needs.
Enforce governance policies related to data quality, privacy, and compliance (e.g., GDPR, CCPA).
Implement fine-grained access controls, encryption, and auditing with a focus on regulatory compliance and data traceability.
Automate data pipelines, workflows, deployment, and infrastructure provisioning and configuration using tools like ArgoCD, Apache Airflow, Ansible,Salt,and Kubernetes.
Implement CI/CD pipelines, actions, and workflows on GitHub to deploy updates and enhancements.
Optimizedata storage and queries using Apache Iceberg, Flink, and Spark to ensure high performance and low-latency access.
Identifyand address performance bottlenecks; implement partitioning, caching, and indexing strategies.
Monitor data platform health using tools such as Prometheusand Grafana dashboards.
Configure real-time alerts to proactively detect and resolve pipeline failures or data issues.
Troubleshoot and resolve platform outages and data incidents promptly.
Work withother development teamsand engineers to understand data needs and deliverperformant, scalable solutions.
Collaborate with cross-functional teams (Cloud Engineering, Network, and DevOps/Solutions Engineering) to troubleshoot and resolve infrastructure issues.
Strong programming skills inJavaor Python.
Knowledge of Apache Iceberg, Flink, Spark, Kafka, and Trino.
Familiar with metadata management platforms likeDataHubor Apache Atlas.
Familiar with cloud-native infrastructure tools such as Kubernetes, Ansible,Salt,etc.
Familiar with CI/CD and DevOps operations.
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.
