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DWP Data Architect @ Atos

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 DWP Data Architect

Job Description

We are seeking a skilled and experienced DWP Data Architect to join our RD team. The successful candidate will be responsible for designing and developing the DWP Data Platform, which will serve as a centralized repository for data generated by DWP services. This platform will facilitate cross-service data sharing and will be instrumental in enabling AI and analytics functionalities across all Digital Workplace services.
Key Responsibilities:
  • Architecture Design: Create a robust data architecture that meets the scalability, security, and performance requirements of the DWP Data Platform.
  • Data Management: Design data models and data flows to effectively store and process structured, semi-structured, and unstructured data.
  • Technology Implementation: Utilize Azure technologies to develop and implement the DWP Data Platform, ensuring adherence to best practices in data design.
  • Cross-Functional Collaboration: Work closely with product managers, data engineers, and other stakeholders to understand data needs and ensure that the platform supports all DWP services effectively.
  • Leadership: Lead the development team in implementing the data architecture, providing guidance on data design principles and practices.
  • Analytics Enablement: Collaborate with data scientists and analysts to support the integration of AI and analytics capabilities into the DWP services.
  • Documentation: Create and maintain comprehensive documentation of data architecture, data models, and design decisions to ensure clarity and alignment across teams.
Qualifications:
  • bachelors degree in Computer Science, Information Technology, or a related field. A masters degree is a plus.
  • Proven experience as a Data Architect or similar role, preferably in a large-scale data environment.
  • Strong knowledge of data architecture, data modeling, and data governance principles.
  • Experience with Azure cloud services and technologies (eg, Azure Data Lake, Azure SQL Database, Azure Synapse Analytics).
  • Familiarity with data processing frameworks and tools for structured, semi-structured, and unstructured data.
  • Excellent problem-solving skills and the ability to work collaboratively in a fast-paced environment.
  • Strong communication skills, with the ability to articulate complex technical concepts to non-technical stakeholders.

Job Classification

Industry: IT Services & Consulting
Functional Area / Department: Engineering - Software & QA
Role Category: DBA / Data warehousing
Role: Data warehouse Architect / Consultant
Employement Type: Full time

Contact Details:

Company: Atos
Location(s): Bengaluru

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Keyskills:   Data management Data modeling Data Architect data governance Data processing high performance computing Information technology Analytics Data architecture

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