Remote New

Data Architect - FWA Analytics Ecosystem

TISTA Science and Technology Corporation
United States
Dec 10, 2025
Overview TISTA is seeking a Data Architect to design and implement the overall architecture for an integrated analytics ecosystem, ensuring scalability, security, and compliance. This role plays a critical part in defining data strategies and enabling advanced analytics capabilities across the organization. Future Opportunity: This posting is for future consideration and is not an active hiring effort. By joining our talent pool, you'll receive updates and early notification when openings become available. Responsibilities Design the overall architecture for an integrated Fraud, Waste, and Abuse (FWA) analytics ecosystem. Develop strategies for data integration and scalability of analytic platforms. Define data models, schemas, governance standards, and metadata structures. Establish data dictionaries, mapping, and standardization methodologies. Support integration of multi-source data and ensure future scalability. Develop roadmaps for data integration and modernization efforts. Ensure compliance with data security requirements and mandates. Champion industry best practices for data governance and architecture. Work closely with IT leadership, developers, and subject matter experts to document requirements and constraints. Participate in proof of concepts and domain-driven design initiatives. Qualifications Minimum 5-8 years of experience in data architecture, enterprise data modeling, and integration. Proven expertise in designing data ecosystems for analytics, BI, or AI/ML workloads. Advanced knowledge of data management and database development technologies. Expertise in data integration patterns and technologies. Strong understanding of structured and unstructured data solutions. Experience with Agile development practices. Advanced SQL skills; experience transitioning databases to AWS preferred. Education: Bachelor's degree in Computer Science, Information Systems, Data Engineering, or related field. Preferred Master's degree in Data Architecture, Data Management, or Enterprise Systems. Certifications such as AWS/Azure Data Architect or DAMA Certified Data Management Professional are a plus. Clearance: The ability to pass a Tier 2/Modest Background Investigation. Location: Remote: USA.