Sr. Data Architect

Senior Data Architect – Remote (US Citizenship Required) This position will support the design, structure, governance, and integration of enterprise data across systems. This role is responsible for establishing scalable data architectures, defining common data models , and ensuring data is accessible, high-quality, and aligned with both analytical and operational needs. The ideal candidate will bring deep expertise in enterprise data strategy, architecture frameworks, and data governance practices, with a strong ability to translate business requirements into robust data solutions. Key Responsibilities Define and maintain the enterprise data architecture strategy, standards, and roadmap Develop and implement common data models to support Servicers and cross-functional systems Design end-to-end data flows, including data ingestion, transformation, integration, and consumption Establish and enforce data governance frameworks, including policies, standards, and stewardship processes Define metadata management standards and ensure proper data cataloging and lineage tracking Implement and monitor data quality frameworks, ensuring accuracy, consistency, and reliability of data assets Collaborate with business, analytics, and technology teams to ensure data supports reporting, analytics, and operational use cases Guide the design of data integration solutions across heterogeneous systems (on-prem and cloud) Ensure compliance with data security, privacy, and regulatory requirements Provide technical leadership and mentorship to data engineers, analysts, and junior architects Evaluate and recommend data platforms, tools, and technologies to support enterprise needs Drive adoption of best practices in data modeling, data warehousing, and data lake architectures Required Qualifications 10+ years of experience in data architecture, data engineering, or enterprise data management Strong expertise in data modeling (conceptual, logical, and physical) Proven experience designing enterprise data architectures and integration frameworks Hands-on experience with data governance, metadata management, and data quality tools Experience with cloud data platforms (AWS, Azure, or GCP) and modern data ecosystems Proficiency in SQL, ETL/ELT processes, and data integration tools Strong understanding of data warehousing, data lakes, and big data technologies Experience working with API-based and event-driven data architectures Knowledge of security, privacy, and compliance standards (e.g., GDPR, HIPAA, or federal data standards) Excellent communication skills with the ability to engage both technical and business stakeholders Strong communication skills, and team player Minimum of bachelors degree Preferred Qualifications Familiarity with federal data architecture frameworks or large-scale government systems Experience with data catalogs, lineage tools, and governance platforms Certification in cloud platforms (AWS Certified Solutions Architect, Azure Data Architect, etc.) Exposure to AI/ML data pipelines and advanced analytics platforms Key Competencies Strategic thinking and enterprise-level architecture design Strong problem-solving and analytical skills Leadership and stakeholder engagement Attention to detail with a focus on data quality and integrity Ability to balance innovation with governance and control

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