Data Architect

About the Role

Key Responsibilities

• Envision, rationalize, design, and deliver the architecture and standards for data fabric management for the Enterprise as the first mover in formalization of the Bank's data architecture.
• 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 Data Warehouse (DW) and Operational Data Store (ODS) architecture and standards, physical and logical data models, schemas, and structures to support data storage, retrieval, and analysis.
• Monitor 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 to optimize data management results, planning for growth and product/data migrations.
• Deliver continuous support of audit practices and develop self-service audit capabilities to improve effectiveness and efficiency.
• Support business continuity practices and procedures, providing BCP planning for backup & recovery requirements and active participation in recovery efforts.
• 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 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.

Requirements

• 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 contribute significantly to the team’s workload.
• 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.

Nice to Have

• Experience managing data teams and contributing to data strategy development.
• Knowledge of emerging data technologies and industry best practices.

Qualifications

• Educational background in Computer Science, Information Systems, or related fields.
• Extensive experience in data architecture and management within financial services.