Sr. Data Architect

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., * 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

• 7+ 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