Cloud Data Platform Architect

NXP SemiconductorsChandler, AZ

About The Position

Assist the Enterprise Business Intelligence to provide BI tools to NXP customers and producers. Responsible for leading the data design of solutions for data and analytics by developing conceptual, logical and physical data models to support data analysis and business intelligence. Translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards. Improve enterprise information management performance by leveraging MDM, metadata, management and information modeling. Responsible for keeping architectural principles and guidelines up to date and ensure these are embedded in the way engagement leads and developers work. Simplify the existing data architecture, delivering reusable services and cost saving opportunities. Collaborate with other architects in projects like ETL modernization and move to Cloud Strategy and work with business and IT security to secure data and analytic assets.

Requirements

  • Bachelor’s degree in Computer Science, Computer Engineering, foreign equivalent or related field.
  • Five (5) years of progressive post baccalaureate experience in the job offered, Teradata DBA, Software Engineer, Architect, or related occupation.
  • Five (5) years of experience in Teradata DB applications such as viewpoint, Administrator, and Manager.
  • Five (5) years of experience in TASM, and PDCR.
  • Five (5) years of experience in Data Labs, Data Mover, QueryGrid.
  • Five (5) years of experience in SQL Assistant.
  • Five (5) years of experience in Utilities such as Fastload, Multiload, Tpump, and BTEQ.
  • Five (5) years of experience in Oracle 9i or above.
  • Five (5) years of experience in AWS.

Responsibilities

  • Assist the Enterprise Business Intelligence to provide BI tools to NXP customers and producers.
  • Lead the data design of solutions for data and analytics by developing conceptual, logical and physical data models to support data analysis and business intelligence.
  • Translate high-level business requirements into data models and appropriate metadata, test data, and data quality standards.
  • Improve enterprise information management performance by leveraging MDM, metadata, management and information modeling.
  • Keep architectural principles and guidelines up to date and ensure these are embedded in the way engagement leads and developers work.
  • Simplify the existing data architecture, delivering reusable services and cost saving opportunities.
  • Collaborate with other architects in projects like ETL modernization and move to Cloud Strategy.
  • Work with business and IT security to secure data and analytic assets.
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