Datawarehouse Architect - Onsite

NTT DATA-posted 2 months ago
Remote • Oaks, PA
Professional, Scientific, and Technical Services
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NTT DATA strives to hire exceptional, innovative and passionate individuals who want to grow with us. If you want to be part of an inclusive, adaptable, and forward-thinking organization, apply now. We are currently seeking a Datawarehouse Architect - Onsite to join our team onsite in Oaks, Pennsylvania (US-PA), United States (US). Approximately 18 miles north-west of Philadelphia. Our ideal candidate will have the ability to analyze complex data requirements and develop effective solutions. Have a strong ability to communicate technical concepts to both technical and non-technical audiences and collaborate with various teams. In addition, will have experience with cloud-based data warehousing solutions.

  • 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.
  • 8+ years of Data modeling, Datawarehouse design.
  • 8+ years with SQL, scripting languages (e.g., Python).
  • 8+ years experience with ETL technologies.
  • 2+ years experience in Snowflake technologies.
  • A bachelor's degree in computer science, Information Technology, or a related field is typically required.
  • Experience in data warehouse, data management, solution architecture, and database administration is essential.
  • Advanced certifications in data warehousing or related fields can enhance career prospects.
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