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Jobs at MetaOption, LLC

Enterprise Data Architect

Location: Hartford, CT

Type: Contracted

Min. Experience: Experienced

Position: Enterprise Data Architect

Location: Hartford, CT  

Duration: 1 YEAR or LONGER./Contract to Hire


Job Description:

Works as an Enterprise Architect who specializes in enterprise data/information technology, approaches, and industry practices.  This is a role that will require the successful candidate to become a trusted advisor of senior business and IT leadership.  As a true enterprise architect this role will be to drive the data strategy through the enterprise working with senior business stakeholders to ensure alignment with key business strategies and objectives.  As an individual contributor top professional skills such as multi-level communications, negotiating, leading through influence, driving change without authority, relationship development and management will be key requirements

Technical requirements include an expertise in all that is data/information, emerging technologies, Big Data/Hadoop, large unstructured dataset management, MDM, Data Virtualization, and  data enterprise data strategy.  Also responsible for the architectural “health” and maintenance of data architecture, as well as its transformation based on the needs of business, corporate technology and budget objectives. Makes key design decisions regarding specific technology/vendor/platform issues. Ensures the implementation of architectural strategies pertaining to data architecture.

This is NOT a solution architecture role.

Work Experience: 

7-10+ years of information/data architecture experience in eliciting requirements and defining enterprise solutions and proven track record of delivering enterprise information strategy and platforms.
Large-scale transformation project experience.
Insurance industry experience or work with insurance systems.
Experience as an advisor to business and IT leadership.
Experience making and driving key technology decisions.
Strong working knowledge of information/data architecture best practices, methods and models. 

Technical Skills: 

Strong proficiency in proven and emerging data architectures/technologies including Big Data/Hadoop, large unstructured dataset management, MDM, Data Virtualization, Cloud computing,and data enterprise data strategy development. 
Strong proficiency in open and de facto data architecture/management standards. Strong understanding of data architecture solution alternatives and vendor strategies. 
Desired but not required

Data modeling knowledge such as UML, ORM, ERwin
A working knowledge of ACORD.
Proficiency in UML and similar modeling techniques.
Working knowledge of enterprise architecture tools (e.g, Mega, Troux or similar).
Experience with Guidewire, SAP and Microsoft architectures and development platforms. 

?? Non-Technical Skills: 

Leadership including the ability to lead through influence and manager without direct authority
Trusted Advisor - relationship development and management
Expert professional skills including multi-level communication, negotiation, and presentation development and delivery

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