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Data Architect M / F

Data Architect M / F

InetumHybrid , Rumanía
30+ days ago
Job description

Mission

  • A Data Architect is a professional who designs and manages an organization’s data infrastructure, including databases, data warehouses, data lakes, cloud platforms and other data systems.
  • 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.

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
  • Profile

  • 3+ years of experience in designing and implementing database to retrieve and store company information
  • 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