Senior Data Architect

Role Purpose
 

We have an exciting opportunity for a Data Architect to support Finance, Compliance and Risk programmes through delivery of a comprehensive data strategy supporting Transformation targets. We are looking for enthusiastic and passionate Data Architect to join a dedicated and collaborative team as we strive to deliver excellence to our customers. The ideal candidate needs to have a strong delivery record in delivering data frameworks, architecture and operating models. Join us in making a positive impact.

Role Responsibilities:

• Build, maintain and communicate/promote data models and data flows for Corporate engineering, including alignment against upstream and downstream dependencies with CRM, Finance, Compliance and Risk
• Support development of Data Governance strategy, based on Enterprise Data policies, Control and Regulatory requirements, and wider industry standards
• Define and develop Conceptual Data models working in close collaboration with Business, Change and Tech Partners
• Develop logical and physical data models, informed by conceptual and information models, and establish clear relationships and dependencies between these models
• Design functionality to handle data integration, migration and archiving, including duplicate data management
• Profile and analyse large volumes of historical data to support data lifecycle activities
• Alignment of technology data concepts to business outcomes and processes
• Formulate test scenarios and test the data model / transformation logic, generate status reports, and run sign-off sessions with senior program managers
• Build Data Quality and exception management framework including functionalities to handle manual / auto data correction, manual uploads, etc.

Skills Required:

• Good background and experience as a data architect and/or senior data modeller for data platforms or solutions
• Previous experience of delivering strategic data solutions against Customer, Finance, compliance or Risk requirements (e.g. orders, billing, accounting, procurement) in banking and financial services,  similar regulated organisations or a business-to-business sales organisation
• Solid grasp of Data Governance and Data Management concepts, including metadata management, master data management and data quality
• Experience of promoting and delivering end-to-end operating models and frameworks
• Understanding of data warehousing concepts and methodologies, including Kimball and Data Vault 2.0
• Ability to combine strong conceptual and critical thinking and apply a practical mind to drive tasks
• Good proficiency in SQL: Hands on experience/fluency in SQL joins and ability to write simple to moderately complex SQL queries
• Be flexible and adaptable with a hands-on approach with excellent problem-solving skills
• Experience handling products on different solution models (SaaS, PaaS, managed service etc.)
• Proven track record of using industry standard processes and frameworks
• Strong verbal and written communication skills, with ability to communicate technical information to non-technical partners and to listen to identified concerns and adapt accordingly