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# Data Architect

- **Company:** Kforce Inc.
- **Location:** Quincy, MA, United States
- **Experience:** Expert
- **Contract:** Permanent contract
- **Skills:** Artificial Intelligence, Customer Data Management, Data Architecture, Information Engineering, Data Governance, Data Infrastructure, Data Integration, Extract Transform Load (ETL), Data Security, Data Warehousing, Distributed Computing Environment, Identity and Access Management, Software Engineering, SQL Databases, Enterprise Data Management, Cloud Platform System, Data Management, Data Pipelines
- **Published:** September 11, 2026
- **Apply:** https://www.kforce.com/find-work/search-jobs/#/detail/MTY5Nn5BUUd-MjE4Nzk0NVAxfjk5/

## About the Role

* 10+ years of experience in data engineering, data architecture, or related technical roles
 * Proven experience designing and delivering large-scale modern data platforms in production environments
 * Experience working with cloud-based data platforms and distributed data processing frameworks
 * Experience implementing master data management and customer data strategies
 * Strong expertise in data modeling, data integration, ETL/ELT processes, and data warehousing concepts
 * Knowledge of data governance, data quality, data security, and regulatory compliance requirements
 * Familiarity with AI-enabled development practices and modern software engineering standards
 * Advanced skills in SQL and modern data engineering technologies
 * Strong communication and stakeholder management skills
 * Demonstrated ability to lead technical teams, establish standards, and drive successful project delivery

## Description

* Lead the design, development, and optimization of enterprise data platforms and analytics environments
 * Build and maintain scalable data solutions that support reporting, forecasting, customer insights, and business decision-making
 * Define data standards, governance policies, security controls, and access management practices
 * Partner with business and technology teams to establish data requirements, integration standards, and quality expectations
 * Develop and oversee master data strategies across key business domains
 * Establish data quality, lineage, monitoring, and observability frameworks
 * Support privacy, compliance, and data protection initiatives through technical controls and governance processes
 * Drive AI and advanced analytics capabilities by enabling trusted, well-governed data foundations
 * Establish engineering best practices, development standards, and review processes
 * Mentor technical team members and provide architectural guidance across data initiatives
 * Create and maintain a long-term roadmap for data, analytics, and AI capabilities


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