Data Warehouse Architect with SQL Server, NoSQL, MongoDB, Azure Cosmos, PostgreSQL, AWS Redshift, Sybase, ERD, DFD, Star Schema, Data Vault, Python, Visio and agile experience

Job ID: NC-604194 (99490821)

Data Warehouse Architect with SQL Server, NoSQL, MongoDB, Azure Cosmos, PostgreSQL, AWS Redshift, Sybase, ERD, DFD, Star Schema, Data Vault, Python, Visio and agile experience

Location: Raleigh NC (NCCCS)
Duration: 12 months
Interview: In-person (must)
Positions: 1 (1/2)

Skill Required / Desired Amount of Experience
Microsoft SQL Server 2008 Required 10 Years
Microsoft SQL Server 2016 (on premise or Azure cloud based) Required 3 Years
NoSQL Databases (MongoDB, MS Azure Cosmos) Required 2 Years
PostgreSQL, AWS Redshift Desired 2 Years
Sybase DB Desired 5 Years
Entity Relationship Diagrams (ERD) Required 5 Years
Data Flow Diagrams Required 5 Years
Star Schema Required 5 Years
Data Vault 2.0 Desired 2 Years
Scripting Language such as Python Desired 2 Years
Visio Desired 2 Years
Agile Scrum Methodology Desired 2 Years

The NC Community College System (NCCCS) Data Warehouse Architect is responsible for analyzing enterprise business needs and designing and developing complex logical databases, logical data models, relational data definitions, and data warehouses in support of Enterprise (NCCCS) information system needs. Understands the methodologies and technologies that depict the flow of data within and between technology systems and business functions/operations. Responsible for the identification and resolution of information flow, content issues and the transformation of business requirements into logical data models.

This position identifies opportunities to increase efficiency and effectiveness, trends in data uses, and single sources (sources of record) of data. Responsible for designing, modeling, developing and supporting complex logical database designs, models, and definitions using market leading Database Management and Information Handling Systems. Analyzes data requirements, application and processing architectures, data dictionaries, and database schema(s), and then designs, develops, amends, optimizes, and certifies database schema design to meet system(s) requirements. Gathers, analyzes, and normalizes relevant information related to, and from business processes, functions, and operations to evaluate data credibility and determine relevance and meaning. Develops database and warehousing designs across multiple platforms and computing environments. Develops an overall data architecture that supports the information needs of the business in a flexible but secure environment.

AE-604194.docx

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