Cloud Data Architect
Job ID 1191
charlotte, NC, 28105
5 - 10 years experience
130000 - 150000 Annual
IT-Software, Software Services
1 of Openings
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.
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
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.
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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