Developing and governing the Bank’s batch data architecture, including defining standards, tools, and models that support secure, scalable, and efficient data capture, integration, storage, and delivery.
Identifying data-related business requirements, creating high level enterprise and sub architecture models, and optimizing data flows to reduce redundancy and improve accessibility within security boundaries.
Supporting the Data Development team by designing and implementing ETL workflows using Informatica PowerCenter/IDMC, Oracle Database, ActiveBatch enterprise schedulers, and related technologies, contributing to requirements analysis, development, testing, deployment, and ongoing support.
Serving as a technical expert and mentor, providing architectural leadership, guidance, and best practices to ensure consistent, high quality data solutions across the organization.
Requirements
Bachelor of Science in computer science, data science, and software engineering or relevant field required
Ten (10)+ years progressive, hands-on ETL Development or equivalent work experience required
Five (5)+ specifically in related Business Intelligence and/or Data Engineering required
Five (5)+ years of specific experience in Data Architecture required
Five (5)+ years of extensive knowledge of complex SQL composition and troubleshooting required
Five (5)+ years of experience with relational databases (Oracle, SQL Server, Teradata, etc.) required
Master’s degree in computer science, business management, or other relevant technical degree preferred
15+ years in ETL Development and Data Engineering preferred
Five (5)+ years in Data Warehousing and Business Intelligence implementation experience preferred
Five (5)+ years in Banking experience or other relevant financial services experience preferred
Certified Data Management Professional (DAMA) or equivalent data management certificate preferred
Strong facilitation, interpersonal and consultative skills.
Ability to develop and work with different constituencies in a team-oriented, collaborative environment.
Strong written and oral presentation skills.
Excellent analytical skills and discernment.
Initiative and ‘Can Do’ attitude required.
Experience with business analysis and requirements gathering, systems, network and data design and development, protocols, standards, and information processing principles and practices.
Experience with mentoring technical & business staff to help propagate the implementation and adoption of enterprise data architecture across the organization.
Experience facilitating cross-functional teams.
Strong capability in change management and conflict resolution.
Expert in expectation setting, customer service, business analysis, costing/estimating and planning.