Data Architect

Short Description:

Main purpose of the Data Architect is to ensure that data is managed properly and meets business needs for information. This involves creating a blueprint or framework that defines how data is stored, organized, integrated, and accessed across the organization, while also enforcing adherence to data management standards.

Qualifications:

• Minimum 3 years of experience in designing and implementing database to retrieve and store company information;
• Minimum 3 years of experience in designing conceptual and logical data models and flowcharts;
• 5+ years in IT, data analysis, data processing, data management;
• In-depth knowledge of industry standard techniques for data processing, data management, data delivery, data mining, data analysis;
• Proven experience in architecting and implementing Data warehouse platforms, Business Intelligence solutions, Master data Management solutions, data integration and OLTP database solutions;
• Deep knowledge of Kimball and Inmon approaches and the core differences;
• Strong knowledge of industry best practices around data architecture in both cloud based and on prem solutions;
• Excellent problem solving and data modelling skills (logical, physical, sematic and integration models) including normalization, OLAP / OLTP principles;
• Strong understanding of Data Modeling concept;
• General knowledge of the bank’s products and services / all banking products and services.

Job Responsibilities:

• Enhance and maintain current framework of principles to ensure data integrity across the business (including but not limited to Source systems, BI platforms, Data warehouse, BigData platforms, external interfaces etc.);
• Be a key stakeholder and advisor in all new strategic data initiatives and ensure alignment to the enterprise data strategy;
• Facilitate and promote the design and development of high-quality data artifacts within the data architecture to meet current and future business data and information needs;
• Assist in the design, development and implementation of enterprise information data flows and overall data management leading practices in a complex environment;
• Checks and validates the implementation of the solutions, technical documentation and technical deliverables required for releasing in production;
• Partner with Data Governance functions to ensure scope, validity, accuracy and completeness of any requirements related to data;
• Researches and evaluates new technologies, development tools and alternative solutions;
• Recommends the most effective and cost-effective methods and tools for facilitating projects and systems development.