Senior Data Platform Engineer
Senior Data Platform Engineer
Employer Active
Job Alert
You will be updated with latest job alerts via email
Share
Job Alert
You will be updated with latest job alerts via email
Not Disclosed
Salary Not Disclosed
1 Vacancy
Job Description
As a leading financial services and healthcare technology company based on revenue SS&C is headquartered in Windsor Connecticut and has 27000 employees in 35 countries. Some 20000 financial services and healthcare organizations from the worlds largest companies to small and mid-market firms rely on SS&C for expertise scale and technology.
Job Description
Job Title: Senior Data Platform Engineer
Location: Kansas City MO (Remote Eligible)
Company Overview:
SS&C is a global leader in investment and financial services software serving over 18000 organizations worldwide. Headquartered in Windsor Connecticut SS&C is dedicated to driving innovation and client satisfaction across the financial services and healthcare industries.
Job Description:
We are seeking a skilled Senior Data Platform Engineer to join our Data Platform team in Kansas City this role you will be instrumental in designing implementing and optimizing a cloud-native data stack that leverages best-in-class open-source tools. The ideal candidate will design build and maintain an opinionated resilient and scalable data platform in a private cloud environmentenabling data-driven decision-making analytics and machine learning while providing deep insights out of the box. This role blends data engineering software development and infrastructure management leveraging tools such as Apache Iceberg Airflow Spark Kafka and Superset.
Core Responsibilities
Data Platform Architecture
- Design scalable and secure architecture for data storage processing and access within a private cloud.
- Select appropriate technologies (e.g. Apache Iceberg Spark Superset) to meet business and technical requirements.
- Define flexible and scalable data schemas using Apache Iceberg.
Metadata Management & Data Governance
- Evaluate and implement metadata management platforms such as DataHub Apache Atlas or OpenMetadata to support data cataloging lineage and governance use cases.
- Collaborate with data stakeholders to align metadata solutions with organizational needs.
- Define and 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.
Infrastructure Management
- Manage private cloud infrastructure to provision and maintain data lakes / data mesh solution processing engines and databases
- Ensure high availability scalability disaster recovery and infrastructure cost-efficiency.
- Enforce strong encryption standards and access controls in line with industry best practices.
- Design for growth in data volume velocity and variety.
Automation & CI/CD
- Automate data workflows infrastructure provisioning and deployments using tools like Airflow Ansible Salt and Kubernetes.
- Implement CI/CD pipelines for data platform updates and enhancements.
Performance Optimization
- Optimize data storage and queries using Apache Iceberg and Spark to ensure high performance and low-latency access.
- Identify and address performance bottlenecks; implement partitioning caching and indexing strategies.
Monitoring and Alerting
- Monitor data platform health using tools such as Prometheus and 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.
Collaboration
- Work closely with data scientists analysts and engineers to understand data needs and deliver performant scalable solutions.
- Collaborate with cross-functional teams (Cloud Engineering Network and DevOps/Solutions Engineering) to troubleshoot and resolve infrastructure issues.
Qualifications
Education
- Bachelors or Masters degree in Computer Science Data Engineering or a related field.
Experience
- 58 years of experience in data engineering with a strong focus on cloud-based data platforms.
Technical Skills
- Strong programming skills in Python or Java.
- Deep knowledge of Apache Iceberg Spark Airflow Superset and Kafka.
- Familiarity with metadata management platforms like DataHub Apache Atlas or OpenMetadata and experience with their evaluation or implementation.
- Experience with cloud-native infrastructure tools such as Kubernetes Ansible Salt etc.
Soft Skills
- Strong analytical and problem-solving skills.
- Effective communication and collaboration with cross-functional teams.
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 offers excellent benefits including health dental 401k plan tuition and professional development reimbursement plan.SS&C Technologies is an Equal Employment Opportunity employer and does not discriminate against any applicant for employment or employee on the basis of race color religious creed gender age marital status sexual orientation national origin disability veteran status or any other classification protected by applicable discrimination laws.
Required Experience:
Senior IC
Employment Type
Full-Time
