Job Description :
Role: Enterprise Data Architect
Location: Topeka, KS
Duration: Long Term Contract

The professional in this role must be capable of providing services in support of:
the development of conceptual, logical and physical data models support our existing and future Enterprise Data Architecture
creating and maintaining processes for gathering high quality metadata
an understanding and appreciation for fundamental issues relate to data quality initiatives
the development and maintenance of high quality data design strategies, guidelines, principles and standards
mentoring and education, along with technical guidance and direction on data modeling/design and metadata requirements to data designers in the application development teams utilizing Agile development processes
participation in quality assurance of conceptual, logical and physical data models

Technical / Business Skill requirements include:

Experience in designing conceptual, logical and physical data models using industry standard tools (e.g. PowerDesigner, ERwin)
Expertise in the normalization process and entity-relationship data modeling techniques
Knowledge and experience with enterprise data architecture methodology and frameworks (e.g. TOGAF)
Knowledge in using data quality and data governance tools (Information Analyzer & Quality Stage, Information Governance Catalog)
Knowledge of Agile development and the Scaled Agile Framework
Knowledge of dimensional modeling, data warehousing and Big Data concepts
Knowledge of current trends in data technologies: data services, data virtualization, data integration, Master Data Management, Hadoop/Big Data
knowledge in a variety of database, ETL, and application concepts, practices and procedures
knowledge of NoSQL, graph, Kafka and other non-relational data storage technologies
specific knowledge of the railroad and/or freight transportation industry

Professional / Personal Skill requirements include:

Exceptional and clearly understandable English in support of both verbal and written communication requirements
Experience in effective communication at different levels (i.e. junior team members, peers, management, senior management) of the organization
Experience in providing technical data design guidance and direction
Ability to facilitate small groups of application development and/or business users during data requirements and design sessions
Strong leadership skills
Strong problem solving skills
Excellent interpersonal skills
Ability to work with business and development teams to convey the value of enterprise data modeling, data quality and data governance practices