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Data Architect @ Sutherland Global

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 Data Architect

Job Description

  • Determine architectural requirements, design, and develop the enterprise software architecture for the products being built.
  • Assess and determine governance, stewardship, and frameworks for managing data across the organization.
  • Develop logical data models by extending conceptual models.
  • Review and provide alternative strategies for transactional and analytical systems to effectively share data.
  • Evaluate and identify specifications, best practices, integration, and proper use of emerging technologies as it relates to overall software architecture.
  • Develop and maintain future state architectures and transition roadmaps which meet the enterprise needs as identified during current state architecture analysis and the assessment of gaps and opportunities.
  • Establish the best practice of data governance, data quality, and Master Data Management for the project.

Experience:

  • A minimum of 5 years of related experience.
  • Working knowledge of IT governance frameworks, concepts, methodologies, and modeling techniques.
  • Experience with big data technologies or large data warehousing initiatives.

Skills:

  • Ability to translate business and technical requirements into comprehensive software solutions.
  • Extensive background and expertise in developing and managing data technologies and technical operations.

Education:

  • Bachelor s Degree in Information Technology, Computer Science, or a related quantitative discipline.

Travel Requirements:

  • The candidate should be ready for long-term travel to KSA as needed

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Data Science & Analytics,
Role Category: Data Science & Machine Learning
Role: Data Science & Machine Learning - Other
Employement Type: Full time

Contact Details:

Company: Sutherland Global
Location(s): Hyderabad

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Keyskills:   software architecture Technical operations Architecture Data management Master data management Analytical data governance Data quality Information technology

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