Senior Data Architect

Senior Data Architect Overview

• The Senior Data Architect will define and implement enterprise data architecture strategies to support organizational goals and data-driven decision-making.
• Collaborate with business leaders and technology teams to ensure data solutions align with compliance, security, and operational standards.
• Establish enterprise standards for data governance, integration, quality, reporting, and analytics enablement.
• Provide technical leadership in designing scalable data solutions and advancing data governance practices.
• Enable enterprise business intelligence and analytics capabilities through robust data architecture frameworks.
• Hybrid work arrangement available after 90 days, fostering flexibility and collaboration.
• Support strategic initiatives by ensuring data is secure, accurate, accessible, and aligned with business objectives.
• Contribute to organizational excellence by adhering to best practices and continuous professional development.

Senior Data Architect Key Responsibilities & Duties

• Design and maintain enterprise data architectures, including data models, warehouses, and integration platforms.
• Develop and implement data governance policies, standards, and processes to ensure data quality and compliance.
• Architect ETL/ELT frameworks, APIs, and data pipelines for efficient data integration and exchange.
• Optimize data structures and reporting layers for performance, scalability, and resilience.
• Support enterprise reporting and analytics solutions, ensuring data sources are governed and validated.
• Collaborate with stakeholders to identify reporting needs and develop scalable solutions.
• Ensure data solutions comply with security, privacy, and regulatory requirements.
• Maintain documentation for audits, risk assessments, and regulatory reviews.
• Contribute to organizational initiatives and execute additional responsibilities as assigned.

Senior Data Architect Job Requirements

• Bachelor's degree in Computer Science, Information Systems, or a related field, or equivalent experience.
• Seven or more years of experience in data architecture, data engineering, or related disciplines.
• Expertise in data modeling, data warehousing, integration, metadata management, and reporting architecture.
• Proficiency in designing ETL/ELT frameworks, APIs, and integration solutions.
• Strong understanding of data governance, quality frameworks, and regulatory compliance practices.
• Experience with relational databases, SQL, cloud data platforms, and business intelligence tools.
• Relevant certifications in data architecture, cloud platforms, or analytics are desirable.
• Ability to translate business requirements into scalable data solutions and communicate effectively with stakeholders.
• Experience in financial services, banking, or regulated industries preferred.