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.