Data Architect

PA2026Q1JB030 - Data Architect

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

Data Architect

Job Summary

We are seeking an experienced Data Architect to design and implement a scalable, modern data architecture that supports both analytical and operational needs across the organization. You will define high-quality data products, establish robust data models, and architect end-to-end data flows within a lakehouse environment. This role plays a critical part in ensuring data is accurate, secure, well-governed, and readily accessible for analytics and decision-making.

Key Responsibilities

• Design and define data products, including dimensional models such as Star and Snowflake schemas.
• Architect scalable data acquisition patterns from databases, APIs, files, and messaging systems such as Kafka.
• Design and implement data validation, enrichment, and transformation processes using Python and pySpark.
• Establish frameworks for data quality, metadata management, data governance, and security.
• Define strategies for data distribution and consumption via files, APIs, messaging platforms, warehouses like Snowflake, and analytics tools.
• Collaborate with data engineers, analysts, and business stakeholders to translate requirements into scalable architectures.
• Evaluate and integrate emerging technologies to optimize performance, scalability, and cost efficiency.
• Ensure data architectures follow best practices for reliability, performance, and maintainability.

Required Skills and Qualifications

• Bachelor’s or Master’s degree in Computer Science, Information Systems, or a related field.
• 7+ years of experience in data architecture, data engineering, or related roles.
• Strong expertise in data modeling, including Star and Snowflake schemas.
• Experience designing modern lakehouse architectures (e.g., Apache Iceberg).
• Proficiency with analytics and query platforms such as Trino (Presto), StarRocks, and Snowflake.
• Hands-on experience with Python and pySpark for data processing and transformation.
• Experience with streaming and messaging systems such as Kafka.
• Strong understanding of data governance, data quality frameworks, metadata management, and security best practices.
• Excellent communication and collaboration skills.

Preferred Qualifications

• Certifications in data architecture, cloud platforms, or related technologies.
• Experience building scalable platforms supporting real-time and batch processing.
• Familiarity with metadata catalogs, lineage tools, and governance frameworks.
• Experience with major cloud providers such as AWS, Azure, or GCP.

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 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.

Experience Level

Senior Level