Qureos

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Senior Data Architect

Responsibilities:

  • Lead the development of conceptual, logical, and physical data models
  • Implement business and IT data requirements across relational, dimensional, and NoSQL platforms
  • Define and enforce data modelling and design standards, tools, and best practices
  • Oversee the implementation of RDBMS, operational data store (ODS), data marts, and data lakes
  • Identify architecture, infrastructure, and interfaces to data sources, ensuring security and analytic model support
  • Optimize data query performance through best practices. Identifying areas for improvement in current data systems
  • Collaborate with teams, addressing project requirements and reducing delivery risks
  • Support the development of data tools for reporting, visualization, analytics, and machine learning
  • Designing and managing data infrastructure to extract, organize, and store data for authorized users to access
  • Identifying internal and external data sources within the organization. Ensuring the accuracy, security, and accessibility of the data

Requirements

  • Strong expertise in conceptual, logical, and physical data modeling

In addition to data warehouse and data lake design approaches with hands-on experience of Inmon & Kimball methodologies.

  • Hands-on experience with RDBMS, NoSQL databases, and Cloudera CDP technologies
  • Proven experience in defining and implementing data architecture strategies
  • Excellent communication skills for technical and non-technical stakeholders
  • Experience in performance tuning for data queries
  • Understanding of data modelling and design standards, tools, and best practices
  • Analytical mind-set and problem-solving skills for proactive project support
  • Experience with modelling tools like ERWIN

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