Senior Lead Data Architect
About The Position
This role involves working with product owners and business SMEs to understand functional and data requirements for implementations. The goal is to build Logical Data Models that reflect these requirements and can be used by technologists to build fit-for-purpose solutions. The position actively seeks to expand and mature the content of Business Information Models by leveraging analysis and modeling done on implementations. The Senior Lead Data Architect will work with Information Architecture leadership to ensure best practice data modeling standards and guidelines are followed by BIMs and implementation LDMs. This role engages technical teams and business stakeholders to discuss and propose information architecture approaches to meet current and future needs. It also identifies opportunities to intersect with other Data Management functions to improve metadata, consistency of definitions, and end-to-end data lifecycle management. The role participates in information architecture governance bodies, evaluates information architecture recommendations, and provides feedback to stakeholders. The Senior Lead Data Architect executes creative information architecture solutions, design, development, and technical troubleshooting, with the ability to think beyond routine or conventional approaches to build solutions and break down technical problems. They identify opportunities to eliminate or automate remediation of recurring issues and facilitate evaluation sessions of data models with relevant stakeholders to drive positive outcomes through probing of functional & data requirements, definitions, and validation rules. The role also contributes to a team culture of diversity, equity, inclusion, and respect.
Requirements
- Degree in Computing Science or related degree or relevant related experience
- 10 + years’ experience as an Information or Data Architect
- Hands-on practical experience delivering Logical Data Models
- Hands-on practical experience of Logical Data Modelling Tools
- Hands-on practical experience of Business & Data Analysis techniques
- CDMP Certification (Certified Data Management Professional) or any other data management related certification
- Exposure to Industry Data Models
- Experience in building Common Data Model’s
- Advanced knowledge of architecture & Exposure to other Data management functional area
- Proficiency in all aspects of the Software Development Life Cycle
- In-depth knowledge of the financial services industry and their IT systems
- Advanced knowledge of one or more software, application, and architecture disciplines
- Ability to evaluate current and emerging technologies to recommend the best information architecture solutions for the future state architecture
Nice To Haves
- Working knowledge of MagicDraw and Erwin or other data modelling tools
- Knowledge of UML & ER modelling methods
- Knowledge of Wholesale Payments business
- Knowledge of Domain Driven Design
Responsibilities
- Work with product owners and business SMEs to understand functional and data requirements for implementations in order to build Logical Data Models that reflect requirements and can be used by technologists to build solutions that are fit for purpose
- Actively looks to expand and mature the content of the Business Information Models by leveraging analysis and modelling done on implementations
- Works with the Information Architecture leadership to ensure best practice data modelling standards & guidelines are followed by BIMs and implementation LDMs
- Engages technical teams and business stakeholders to discuss and propose information architecture approaches to meet current and future needs
- Identify opportunities to intersect with other Data Management functions to improve meta data, consistency of definitions & end to end data lifecycle management
- Participates in information architecture governance bodies
- Evaluates information architecture recommendations and provides feedback to stakeholders
- Executes creative information architecture solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions and break down technical problems
- Identifies opportunities to eliminate or automate remediation of recurring issues
- Facilitates evaluation sessions of data models with relevant stakeholders to drive positive outcomes through probing of functional & data requirements, definitions and validation rules
- Adds to team culture of diversity, equity, inclusion, and respect
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What This Job Offers
Job Type
Full-time
Career Level
Senior
Education Level
Associate degree
