In addition to evaluating each candidate's relative ability, as demonstrated by quality and breadth of experience, the following factors will provide the basis for competitively evaluating each candidate:
Must have expert-level knowledge and experience in designing efficient and complex data and architectural solutions for transaction processing, data analytics, and data warehousing.
Knowledge of: the Software Development Life Cycle, industry standards, and frameworks; State IT Governance Policies and Security Standards per the State Administrative Manual; industry Web standards and technologies; Service Oriented Architecture; requirements analysis, business process reengineering, and alternative analysis; data architecture, data mining, large-scale data modeling, and business requirements gathering/analysis; strong understanding of relational data structures, theories, principles, and practices; experience in enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools; strong written and verbal communication skills with ability to reason logically, analyze situations, and reach sound conclusions.