Data Architect

The Data Architect will define how data is stored, consumed, integrated, and managed by different entities. This role will manage all assessments, inspections, designs, implementations and retirements for the Bank's data architecture in a manner that meets regulatory compliance, Bank information and security policy procedures.

Key Responsibilities

• As the first mover in formalization of the Bank's data architecture, envision, rationalize, design, and deliver the architecture and standards for data fabric management for the Enterprise.
• Provide a strong influence for management guidance regarding Enterprise data efforts, IT Control policies and practices, and operational procedures for all data technology products and services.
• Develop and maintain the Enterprise Data Architecture and Strategy, ensuring alignment with business goals and objectives.
• Lead the design and oversee peers and constituents in the implementation of DW and ODS architecture and standards, physical and logical data models, schemas, and structures to support data storage, retrieval, and analysis.
• Monitoring data workloads, providing performance tuning and optimization prescriptions by enacting changes to support effective production systems management.
• Collaborate with cross-functional teams across technology and business systems and services as needed to lead working with technology peers & vendors in optimizing data management results, actively adjusting and planning for growth and product/data migrations.
• Deliver continuous support of audit practices as directed by management and the development of self-service audit capabilities to improve effectiveness and efficiency.
• Continuous support of business continuity practices and procedures, providing BCP planning for all backup & recovery requirement and best practices. Active participation in all recovery efforts as needed for resolution.
• Define Enterprise data standards, policies, and procedures to ensure data quality, integrity, and security.
• Evaluate and select Enterprise data management tools and technologies to support data architecture initiatives.
• Provide guidance and support to data engineers, analysts, and other stakeholders on data architecture best practices.
• Monitor and optimize database performance, scalability, and reliability.
• Stay informed about industry trends, emerging technologies, and best practices in data architecture and management. 

Qualifications

• Bachelor's or Master's degree in Computer Science, Information Systems, or a related field.
• Ability to manage other data architects and data engineers in a Data Architecture Team, as well as carry a significant contributing workload as the Bank continues to build out a staff under this discipline.
• Minimum of 5-8 years of experience in data architecture, database design, and data management, preferably in the banking or financial services industry.
• Strong knowledge of data modeling concepts, techniques, and tools, such as ERwin, ER/Studio, or similar.
• Proficiency in database technologies, including SQL, Snowflake, NoSQL, and cloud-based data platforms (e.g., Azure, AWS, Google Cloud).
• Experience with data governance, data security, and regulatory compliance requirements, such as GDPR, CCPA, and SOX.
• Excellent analytical, problem-solving, and communication skills, with the ability to translate complex technical concepts into business terms.