Big Data Architect

Location: Madison, WI
Date Posted: 06-20-2018
NO C2C
MUST BE ABLE TO WORK FOR ANY U.S. EMPLOYER BOTH NOW AND IN THE FUTURE WITHOUT SPONSORSHIP


Big Data Architect
 
The Big Data Architect will be strategically designing, developing, and implementing the Big Data platform for the company.  This will support the creation of a unified data platform, housing raw & refined data from various sources of record.  The big data platform will help by providing faster delivery of data and enhanced data management & engineering.  It will also provide advanced analytical capabilities for the data science team and other users needing advanced data analytics throughout the organization.  In this position, you will be building the data foundation that can be leveraged to build services on an ongoing basis that supports multiple business areas across the organization. 
 
Qualifications of the Position
 
  • B.S. in computer science, information systems, or computer engineering
  • Certifications in AWS (desired, but not a requirement)
  • 5+ years’ experience working as a data or information architect doing large-scale data modeling and business requirements analysis
  • Understanding of metadata management and associated processes
  • Experience implementing enterprise data management processes, procedures, and decision support
  • Significant expertise with relational data structures, theories, principles, and practices
  • Experience using enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools
  • Experienced in repository creation, and data and information system life cycle methodologies
  • Experience in entity relationship planning, database design, reporting structures, etc.
  • Ability to manage data and metadata migration
  • Experience with various database platforms (MySQL, MS SQL Server and AWS Redshift)
  • Knowledge of Web services (SOAP, XML, UDDI, WSDL)
  • Capable in using data processing flow charting techniques  


Responsibilities of the Position:
 
  • Develop and deliver long-term strategic goals for data architecture standards
  • Create short-term tactical solutions to achieve long-term objectives and data management roadmap
  • Establish processes for identification, collection, and use of corporate metadata; take steps to assure metadata accuracy
  • Create strategies and plans for data security; disaster recovery and total business continuity
  • Ensure the success of enterprise-level application roll-outs; connect vendors and providers to select products and services that meet the company’s goal
  • Assess and determine framework for managing data across the organization; oversee mapping of data sources, data movement, and analytics, with the goal of ensuring data quality; develop key components as needed to create testing criteria in order to guarantee the performance of data architecture; document the data architecture and environment in order to maintain a current and accurate view of the larger data picture
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