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SUBMISSION OF APPLICATIONTo apply for this position, select the and#8220;Apply Onlineand#8221; button. Complete your on-line applicant profile and the State of Texas Application for Employment. TxDMV does not accept paper applications.Effective January 23, 2026:You will be required to attach a resume to your application which will be used for screening purposes.and#183; Please ensure your rand#233;sumand#233; is detailed and specific, including a full employment history (full time or part time), education, licenses, and skills.and#183; Your rand#233;sumand#233; must include the month and year for start and end dates for each listed employer.and#183; Failure to fully complete the application requirements and pre-screening questions may disqualify you for consideration for this position.Applicants who require accommodation for the interview process should contact Human Resources at 512-465-4043 when contacted to schedule an interview.State Classification Title: Data Architect IThis position is eligible for remote work within the state of Texas (subject to change). Must attend meetings/training at headquarters in Austin, TX as required by management.GENERAL DESCRIPTIONOur mission at the Texas Department of Motor Vehicles (TxDMV) is to serve, protect and advance the citizens and industries in the state with quality motor vehicle related services.We are a dynamic state agency dedicated to customer service, consumer protection and the success of motor vehicle-related industries.Performs highly complex (senior-level) data analysis and architecture work. Work involves data modeling and data analytics. Implements and managing database systems and data warehouses. Designs strategies and setting standards for operations, programming, and security. May supervise the work of others. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. This position reports to the agency Chief Data Officer.ESSENTIAL DUTIESDetermines database requirements by analyzing business operations, applications, and programming; reviewing business objectives; and evaluating current systems.Obtains data model requirements, develops and implements data models for new projects, and maintains existing data models and data architectures.Develops physical databases meeting performance requirements. Develops strategies for database implementation.Develops data structures for data warehouses and data mart projects and initiatives; and supports data analytics and business intelligence systems.Implements corresponding database changes to support new and modified applications, and ensures new designs conform to data standards and guidelines; are consistent, normalized, and perform as required; and are secure from unauthorized access or update.Defines and implements processes for extracting and loading data; identifies appropriate data sourcing and extraction processes, and in identifying and nominating sources as systems of record for data usage in various applications.Provides guidelines on creating data models and various standards relating to governed data.Reviews changes to technical and business metadata, realizing their impacts on enterprise applications, and ensures the impacts are communicated to appropriate parties.Configures and establishes data catalog to inventory, classify, and map data throughout the enterprise.Establishes measures to chart progress related to the completeness and quality of metadata for enterprise information; to support reduction of data redundancy and fragmentation and elimination of unnecessary movement of data; and to improve data quality.Assists in selecting data ma agement tools and developing the standards, usage guidelines, and procedures for using those tools.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.May supervise the work of others.May travel up to 5% of the time. Involves overnight travel. Travels by plane and/or car. May require working extended hours and some evenings and weekends, as needed.Performs related work as assigned.KNOWLEDGE, SKILLS, AND ABILITIESKnowledge of master data, metadata, reference data, relational data modeling, data warehousing, and business intelligence principles and processes, including the technical architecture of enterprise information management processes and methodologies, relational database management systems, metadata management, business intelligence, and business analytics tools.Knowledge of local, state, and federal laws and regulations relevant to data management and data governance.Knowledge of the limitations and capabilities of computer systems.Knowledge of technology across all network layers and computer platforms.Knowledge of operational support of networks, operating systems, Internet technologies, databases, and security applications.Knowledge of project management software and system development life cycle concepts.Knowledge of cloud-based services for AWS, Microsoft Azure or GCP.Knowledge of AI technologies and experience implementing AI features.Ability to apply analytical, trouble shooting, and problem-solving skills in data related projects.Demonstrated ability to communicate effectively with all project stakeholders, including executive leadership, business subject area leaders, and project staff.Demonstrated ability to communicate effectively to individuals and groups; to make effective presentations in formal and informal settings.Demonstrated ability to communicate effectively, both verbally and in writing, to a variety of audiences. Must be an articulate and persuasive leader, able to communicate concepts to a broad range of technical and non-technical staff.Ability to make critical decisions in the best interest of the agency and its mission and goals, while following agency procedures.Ability to effectively prioritize and manage multiple tasks and directional changes under short and firm deadlines.Ability to understand, follow and convey brief oral and/or written instructions.Ability to establish and maintain effective and cordial working relationships at all organizational levels, including agency management, direct supervisors, co-workers, internal and external customers.Ability to exercise courtesy, tact, and diplomacy in all communications; including the ability to exercise discretion when handling confidential information.Ability to communicate both verbally and in writing, in a clear and concise manner.Ability to work independently and as part of a team, and to support and contribute to a cohesive team environment.Ability to work with limited supervision and to schedule workload to meet requirements and deadlines of the position.Ability to work under pressure and exacting schedules to complete assigned tasks.Ability to comply with all agency policies and applicable laws.Ability to comply with all applicable safety rules, regulations, and standards.
Qualifications: MINIMUM REQUIREMENTSEducation and ExperienceGraduation from an accredited four-year college or university with a degree in data science, data management, computer information systems, management information systems, computer science, cybersecurity or information security, or in a field related to assignment.Five (5) yearsand#8217; experience in enterprise data architecture and/or information architecture work, two (2) years of which were in a lead or supervisory capacity.Five (5) years of experience in relational modeling and design (OLTP and OLAP).Five (5) years of experience with full li