Database Architect
Coordinates and gathers data model requirements, and assists with the analysis, design, modification, and maintenance of database structures, models and architectures. Supports data analytics and business intelligence systems and coordinates the implementation of database changes to support new and modified applications, ensuring that new designs conform to standards and guidelines.
Recommends and develops standards, procedures, and guidelines on creating and maintaining data models and governed data, ensuring completeness and quality. Reviews changes to logical and physical data modeling, metadata, relational database models, and prepares physical data models from logical data models.
Supports improved data quality by charting the reduction of data redundancy, fragmentation and elimination of unnecessary movement of data. Assists in selecting data management tools and developing the standards, usage guidelines, and procedures for using those tools to ensure the integrity of the database environment.
Assists in performing root cause analyses related to information issues and non-conformance to published data standards based on review of technical metadata of various source systems. Works under minimal supervision, with considerable latitude for the use of initiative and independent judgment Minimum Requirement : Experience in database administration, data analysis, research or architecture work in Oracle database Research, define and document proper governance and stewardship practices, engaging various business groups and technologies Proven experience with data security, master data management, meta data management and support for creation of data dictionaries, data lineage flows and other documentation Identify the architecture, infrastructure, and interfaces to data sources, tools supporting automated data loads, security concerns, analytical models, and data visualization Define and govern data modeling and design standards, tools, best practices, and related development for enterprise data models Experience with identifying and documenting data sources, risks and data controls and ability to translate privacy and information security policies into operational procedures Enterprise data warehouse and storage design experience on both on-premise and cloud platforms Exposure to data classification, clustering, deduplication methodologies Experience in master data management, metadata, reference data, data warehousing, and business intelligence principles and processes, including technical architecture Knowledge of enterprise information management processes and methodologies, relational database management systems, and business intelligence/analytics tools, frameworks and infrastructure Knowledge of database software and technologies, cloud technologies and engineered systems and enterprise software products, including Microsoft Azure AWS and Oracle Excellent verbal and written communication skills; ability to tailor communication to audiences of all levels of technical knowledge Skill in monitoring projects, and establishing measurement and tracking for project tasks Ability to analyze, evaluate, and summarize data and information for accuracy and conformance to standards Ability to document policies, procedures, and processes Ability to exercise sound judgement, critical thinking and analytical skills Ability to establish and maintain effective working relationships at all levels of the organization Knowledge of the Texas Project Delivery Framework