Job Description :
Position :Data Architect
Position Type: 3months Right to Hire
Location: Richmond, VA, United States

VISA : USC GC TN no sponsor

Prefer locals first

Description:

3 month C2H

Location: Richmond, VA (Willing to look at out of state candidates that are willing to relocate)

Interview Process: Phone and FTF

Position Description
The Data Architect is a key technical leadership position that will help set direction for overall Data Strategy and Enterprise Data Analytics. As the lead Data Architect, this role will lead the efforts to establish the Analytic Ecosystem Architecture, evaluate/recommend the go forward technologies and provide technical leadership in the development for the future state environment. This position will play a key role in the transition from traditional reporting to a more dynamic, real-time analytics environment ensuring a foundation to deliver information to internal consumers at all levels in the organization.
Responsibilities:

Lead the development of the Enterprise Data Strategy and Technical Architecture in support of Data Warehousing and Analytics functions.
Analyze and evaluate current system & data environment providing key recommendations for improvement.
Lead the overall scoping, architecture, design and development of new data initiatives. Govern the use and maintenance of the Analytic Ecosystem architecture principles, patterns and standards
Provide leadership and guidance to Enterprise wide analytics initiatives and opportunities in regards to the impact on corporate data assets.
Lead the Enterprise Data Architectural function by guiding the design of new projects and participating in the architecture review council.
Lead the evaluation and selection of all key DW and Analytics technology investments including "Big Data”, Data Visualization, BI Tools and Dashboards, ETL, Core DW Platforms, Advanced Analytics, Open Sources and other evolving technologies based on corporate strategic objectives and key business needs.
Set the strategy and repeatable process for providing analytical data access within the enterprise; assist in rationalizing existing reporting, data usage patterns, tools and processes identifying business improvements and efficiencies
Identify gaps and opportunities with regard to data governance and data ownership, and provide recommendations for improvements incorporating best practices
Develop and maintain relationships across IT and across the business with special focus on roles that are heavy consumers of data for analytical purposes; anticipate customer needs and proactively develop solutions
Provide technical subject matter expertise in defining resource requirements, development standards, and foundational best practices.

Knowledge & Skills:

Excellent communication, leadership and collaboration skills
Competency with Leading Business Intelligence, ETL, EDW, Open Source and Analytical Tools
Experience with Enterprise Data Warehouse initiatives including Data Model development, Semantic/Data Access Layer Development, Reporting and Dashboard Creation; developing solutions for shared data usage
Experience in developing conceptual and reference architecture, principles, and standards
Experience with leading DW Platform Technologies; preferably MS SQL and Teradata
Exposure to and understanding of Analytical Architectures
Effective Consulting and Facilitation Skills
Business acumen, knowledge and professionalism
Strong analytical, problem solving, and work management skills
Customer-focused ability to communicate across all levels of the organization
Proactive Leadership style; self-starter and strong attention to detail
Proficient in MS Office (Word, Excel, Access, PowerPoint, MS Project, Visio, SharePoint)

Position Qualifications

A Bachelor's Degree in a technology area of study; preferably in Computer Science, MIS or Analytics. Masters Preferred
10+ years equivalent work experience in Information Technology
5+ years in a structured IT organization with a strong PMO, a variety of methodologies, and strong technical environment management disciplines
5+ years of experience in Data Analysis, Data Architecture and/or Data Warehousing; preferably in a shared or enterprise data environment
2+ years of experience in banking and/or financial services
             

Similar Jobs you may be interested in ..