Job Details

Cloud Data Architect

Job ID 1191

  • charlotte, NC, 28105
  • Fulltime
  • 5 - 10 years experience
  • 130000 - 150000 Annual
  • 23/12/2019
  • IT-Software, Software Services
  • 1 of Openings
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Job description

  • Information Architecture and Data Architecture skills towards cloud and on-prem based data management in an analytics and Enterprise Data Warehousing environment enabling Data Science, Business Intelligence and analytic applications.

Responsibilities

  •  

    • Establish and enable Centene’s business intelligence and reporting architecture vision – with a focus on information and data architectures
    • Partner with business intelligence and data warehouse architects ensuring scalable, reliable and resilient analytic solutions, appropriate data platforms/repositories, and high-quality consistent decision support information
    • Establish patterns for data ingestion, data movement and integration as well as define reference architectures for Analytics, and Reporting.
    • Effectively collaborate with key business constituents in the design and development of data assets and solutions
    • Ensure highly performant analytic data structures for business intelligence and reporting data management systems – including cloud database platforms such as Amazon Redshift.
    • Mentor/educate others – e.g.  on enterprise data standards, data management best practices, and defined architecture patterns
    • Collaborate with e.g. analytic application and data analysts teams to ensure alignment of initiatives with enterprise data strategy and roadmap

     Qualifications:

    • Education/Experience: Bachelor's degree in Computer Science, MIS, related field or equivalent experience.
    • 5+ years of relevant design and architecture experience.
    • IT experience within managed care environment highly preferred.
    • Demonstrated understanding of business process as it relates to experience in the field.

    Required Skills:

    • Depth of experience in data modeling and database design: sound across all phases of data modeling, from conceptualization to database optimization including:
    • Transactional and decision support applications
    • Relational, NoSQL, Columnar, etc.
    • Structure and Unstructured
    • Experience in the development of conceptual, logical, physical and dimensional data models targeting Amazon Redshift, Oracle, SQL Server and Teradata databases.
    • Mastery in data modeling toolset – Power Designer, Erwin or other similar data modeling tool
    • Keen understanding of Data Warehouse applications and modeling practices as related to cloud architectures.
    • Develop, explain and enforce Data Architecture standards and best practices.
    • Excellent communications skills and the ability to work with all levels within the IT and Business
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