Spectraforce Technologies Inc.
Raleigh, NC
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Job Description :
Position: Service Now Data Architect
Location : New Brunswick , NJ 08903
Duration : 6 Months

This position supports Enabling Functions Data Architecture. More specifically the Information Technology functional area. Experience with ServiceNow is highly recommended.
Candidates should be open to work at both New Brunswick and Nassau Park.

Job Description:
Accountable for driving information and data architecture decisions in alignment with enterprise information and data architecture principles. Partners with DCMs, IT Business Partner(s), and Business Unit stakeholders to sustain the data strategy and target data architecture. Partners with IT development teams to ensure adherence to data architecture principles, guidelines, and standards.
This role is to support architectures related to the use of ServiceNow (IT Service Management), assist in governance of related reference data, and enhancements to related data models.

Experience:
Senior role in Data Management, Data Lake, Data Stewardship and/or Data Administration programs at a large company similar to CLIENT
Master Data Hub architecture, data design and implementation
Data Quality Management and Data Architecture standardization
Data Warehouse architecture, data design and implementation
ERP Data Architecture
Proven analytical skills to properly evaluate and interpret cross-functional data standardization requirements
Ability to resolve complex issues relate to enterprise wide data architecture concerns
Ability to architect data management enterprise solutions that are in alignment with strategic technology roadmap and emerging industry trends
Experience in Computer Systems Validation and Software Quality Assurance
Effective in matrix management and team building
Poise, maturity and communication skills necessary to represent the data architecture group internally and externally
Strong presentation, verbal and written communications skills

Data Architect to assist with the development of:
Enterprise and project level end to end data landscape diagrams
Approaches to hydrating an enterprise data lake with data from internal and external data sources
Data Architecture Guiding Principles
Conceptual, Logical and Physical data models
Collaboration with outside vendors.

Technical qualifications include:
Data Modeling
Physical database design and database tuning expertise
AWS S3 knowledge
RDCLIENT skills
SQL and PL/SQL experience
Tool(s) proficiency such as ERWin, ETL (Informatica PowerCenter), Data Profiling, Siperian Master Reference Manager (MRM)
Source to Target mapping
             

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