Datawarehouse Architect (Onsite Hybrid)

NTT DATAKing of Prussia, PA
16hHybrid

About The Position

Create and implement data warehouse architectures to meet specific business data needs. Develop and maintain data models and schemas for efficient data storage and retrieval. Design efficient Extract, Transform and Load (ETL) processes to move data from various sources into the warehouse. Optimize the performance of the data warehouse and ensure it can scale to handle growing data volumes and user demands. Ensure the data in the warehouse is accurate, consistent, and compliant with data governance policies and regulations. Implement robust data security measures to protect sensitive information within the data warehouse. Work with various stakeholders to understand data requirements and ensure solutions align with business goals. Identify and resolve issues related to data quality, performance, and system functionality.

Requirements

  • 10+ years of Data modeling, Datawarehouse design
  • 10+ years with SQL, scripting languages (e.g., Python)
  • Excellent technical and practical experience with Datawarehouse technologies
  • Ability to analyze complex data requirements and develop effective solutions
  • Strong ability to communicate technical concepts to both technical and non-technical audiences and Collaborate with various teams.
  • Experience in data warehouse, data management, solution architecture, and database administration is essential.
  • A Bachelor's Degree in Computer Science, Information Technology, or a related field is typically required.

Nice To Haves

  • Experience with cloud-based data warehousing solutions will be a plus.
  • Advanced certifications in data warehousing or related fields can enhance career prospects.

Responsibilities

  • Create and implement data warehouse architectures
  • Develop and maintain data models and schemas
  • Design efficient Extract, Transform and Load (ETL) processes
  • Optimize the performance of the data warehouse
  • Ensure data accuracy, consistency, and compliance
  • Implement robust data security measures
  • Work with stakeholders to understand data requirements
  • Identify and resolve data issues
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