A Natural Language Processing Engineer specializes in developing and implementing algorithms and models tailored for understanding, processing, and generating natural language text. They utilize methodologies such as tokenization, parsing, named entity recognition, part-of-speech tagging, and other NLP techniques to perform tasks including text classification, chatbot development, and other applications where the primary input or output is natural language text.
Category Information Technology Organization Info Technology Solutions Department Reporting and Analytics Dept Location Remote/Hybrid Salary $120,018 - $231,935 Date Posted 2026-04-16T12:00:00.000Z Application Deadline Open Until Filled Schedule 8AM - 5PM Full/Part Time Full-time(100%) Other Information Qalifies for
Employee Referral Bonus:
No UC Internal Job:
No Position Information The Data Architect provides high-level technical leadership and strategic design for the University's enterprise data ecosystem. This role is responsible for the creation of comprehensive logical and physical data models that serve as the authoritative blueprints for the University's Information Technology Services (ITS) division, mainly for analytical and AI purposes. Operating at the intersection of transactional software development and analytical systems, the Data Architect ensures that all data structures are designed for maximum interoperability, integrity, and scalability. This position is central to the University's transition toward a cloud-native data architecture, with our data warehouse being built cloud-native and a current initiative to move all on-premise applications to the cloud. The role functions as a critical consultant to both Software Development and Data Engineering teams, establishing the standards that govern the lifecycle of data across the institution. A primary objective of this position is to ensure AI-readiness by architecting clean, well-governed, and highly structured datasets that can support advanced machine learning and large language model (LLM) implementations. The Data Architect is expected to proactively integrate into development workflows to provide architectural oversight, ensuring that new applications and enhancements align with the University's long-term data strategy. Our ITS team operates in an "Agent First" mindset. This position will be involved in thought-leadership on how agents can support architecture decisions and ensure standards are met. This position does not focus on hardware or technology procurement but rather on the structural logic and semantic consistency required to maintain a unified institutional "Source of Truth." This position is classified as predominantly remote with occasional visits to campus as needed. Working hours will be based on Pacific Standard Time (PST). The full salary range for the Data Architect is $114,300 - $220,900 annually. However, the pay scale for this position is up to $160,000 annually. We base salary offers on a variety of considerations, such as education, licensure and certifications, experience, and other business and organizational needs. Applicants must have current work authorization when accepting a UCR staff position. Currently, UCR is unable to sponsor or take over sponsorship of an employment Visa for staff. As a University employee, you will be required to comply with all applicable University policies and/or collective bargaining agreements, as may be amended from time to time. Federal, state, or local government directives may impose additional requirements. Requirements Education Requirements Bachelor's degree in related area and/or equivalent experience/training. Experience 6 - 10 years of related experience. Minimum of 6 years of experience with data design and information architecture, including data modeling. Minimum Requirements Knowledge of software, database, infrastructure or other IT function. Knowledge relating to the design and development of software across the organization. Ability to understand business needs and how business systems can support those needs. Demonstrated ability to work with others from diverse backgrounds. Experience with the integration of complex, diverse, internally and externally developed implementations of business functions to build scalable systems. Demonstrated effective communication and interpersonal skills, including the ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Self-motivated and works independently and as part of a team. Demonstrates problem solving skills. Able to learn effectively and meet deadlines. Demonstrated ability to translate business needs into long-term architecture solutions. Expertise relating to the design and development of software across the organization. Advanced knowledge of data storage, processing, and analysis and how they are used in administrative, medical and/or academic endeavors. Understanding of and experience with key modeling and description languages used to map complex business processes to architectural components, develop common data resource architectures, and create reference frameworks. Knowledge of other related areas of IT. Ability to apply department processes and procedures to work. Proven ability to establish, document, and evangelize enterprise data standards that cross-functional teams (Software Dev and Data Engineering) are motivated to follow. Mastery of both Relational Modeling (3rd Normal Form) for transactional systems and Dimensional Modeling (Star/Snowflake schemas) and denormalized for data warehousing. Ability to create high-level Entity Relationship Diagrams (ERDs) and data flow diagrams that serve as the authoritative blueprint for development teams. Ability to explain complex architectural concepts to both "downstream" Data Engineers and "upstream" Software Developers. Knowledge of Master Data Management (MDM) and the ability to define and maintain a centralized data dictionary/business glossary. Preferred Qualifications Knowledge of software, database, infrastructure or other IT function. Knowledge relating to the design and development of software across the organization. Ability to understand business needs and how business systems can support those needs. Demonstrated ability to work with others from diverse backgrounds. Experience with the integration of complex, diverse, internally and externally developed implementations of business functions to build scalable systems. Demonstrated effective communication and interpersonal skills, including the ability to communicate technical information to technical and non-technical personnel at various levels in the organization. Self-motivated and works independently and as part of a team. Demonstrates problem solving skills. Able to learn effectively and meet deadlines. Demonstrated ability to translate business needs into long-term architecture solutions. Expertise relating to the design and development of software across the organization. Advanced knowledge of data storage, processing, and analysis and how they are used in administrative, medical and/or academic endeavors. Understanding of and experience with key modeling and description languages used to map complex business processes to architectural components, develop common data resource architectures, and create reference frameworks. Knowledge of other related areas of IT. Ability to apply department processes and procedures to work. Proven ability to establish, document, and evangelize enterprise data standards that cross-functional teams (Software Dev and Data Engineering) are motivated to follow. Mastery of both Relational Modeling (3rd Normal Form) for transactional systems and Dimensional Modeling (Star/Snowflake schemas) and denormalized for data warehousing. Ability to create high-level Entity Relationship Diagrams (ERDs) and data flow diagrams that serve as the authoritative blueprint for development teams. Ability to explain complex architectural concepts to both "downstream" Data Engineers and "upstream" Software Developers. Knowledge of Master Data Management (MDM) and the ability to define and maintain a centralized data dictionary/business glossary. Additional Information In the Heart of Inland Southern California, UC Riverside is located on nearly 1,200 acres near Box Springs Mountain in Southern California; the park-like campus provides convenient access to the vibrant and growing Inland region. The campus is a living laboratory for the exploration of issues critical to growing communities' air, water, energy, transportation, politics, the arts, history, and culture. UCR gives every student, faculty and staff member the resources to explore, engage, imagine and excel. UC Riverside is recognized as one of the most ethnically diverse research universities in the country boasting several key rankings of which we are extremely proud. UC Riverside is proud to be ranked No. 12 among all U.S. universities, according to Money Magazine's 2020 rankings, and among the top 1 percent of universities worldwide, according to the 2019-20 Center for World University rankings. UC Riverside is the top university in the United States for social mobility. - U.S. News 2020 UCR is a member of the University Innovation Alliance, the leading national coalition of public research universities committed to improving student success for low-income, first-generation, and students of color. Among top-tier universities, UC Riverside ranks No. 2 in financial aid. - Business Insider 2019 Ranked No. 2 in the world for research, UCR's Department of Entomology maintains one of the largest collections of insect specimens the nation. - Center for World University Rankings UCR's distinguished faculty boasts 2 Nobel Laureates, and 13 members of the National Academies of Science and Medicine. The University of California is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age, protected veteran status, or other protected categories under state or federal law. It is the policy of the University of California to undertake affirmative action and anti-discrimination efforts, consistent with its obligations as a Federal and State contractor. For information about our generous employee benefits package, visit: Employee Benefits Overview Job Description Details General Information Job Title
IT ARCHITECT 4 TX
Job Code 006367 Grade 242 Department Head Matthew Gunkel Supervisor Michelle Hardwick Generic Scope Technical leader with a high degree of knowledge in the overall field and recognized expertise in specific areas; problem-solving frequently requires analysis of unique issues/problems without precedent and/or structure. May manage programs that include formulating strategies and administering policies, processes, and resources; functions with a high degree of autonomy. Custom Scope Applies advanced IT architecture concepts and campus/medical center/OP or community-specific objectives to resolve highly complex issues with significant impact on the organization. Regularly works on issues where analysis of situations or data requires an in-depth evaluation of variable factors. Effectively selects criteria for evaluating results. Department Custom Scope The Data Architect provides high-level technical leadership and strategic design for the University's enterprise data ecosystem. This role is responsible for the creation of comprehensive logical and physical data models that serve as the authoritative blueprints for the University's Information Technology Services (ITS) division, mainly for analytical and AI purposes. Operating at the intersection of transactional software development and analytical systems, the Data Architect ensures that all data structures are designed for maximum interoperability, integrity, and scalability. This position is central to the University's transition toward a cloud-native data architecture, with our data warehouse being built cloud-native and a current initiative to move all on-premise applications to the cloud. The role functions as a critical consultant to both Software Development and Data Engineering teams, establishing the standards that govern the lifecycle of data across the institution. A primary objective of this position is to ensure AI-readiness by architecting clean, well-governed, and highly structured datasets that can support advanced machine learning and large language model (LLM) implementations. The Data Architect is expected to proactively integrate into development workflows to provide architectural oversight, ensuring that new applications and enhancements align with the University's long-term data strategy. Our ITS team operates in an "Agent First" mindset. This position will be involved in thought-leadership on how agents can support architecture decisions and ensure standards are met. This position does not focus on hardware or technology procurement but rather on the structural logic and semantic consistency required to maintain a unified institutional "Source of Truth." Key Responsibilities Initiates, designs and deploys large scale systems. Designs highly complex user systems interfaces, business software prototypes and new systems or major enhancements to existing programs. Acts as the primary data modeler for ITS and the data warehouse, creating the logical and physical blueprints (ERDs) that the Data Engineering team uses for construction. Focuses on designing highly complex, user-centric datasets and semantic layers that simplify institutional reporting and ensure high-performance data retrieval across the enterprise. Designs data models for multiple use cases: analytical, AI, real-time, and transactional. 45% Translates high-level business requirements from stakeholders and data stewards into granular technical data specifications. Analyzes the feasibility of integrating new data streams into the existing ecosystem and evaluates how changes in transactional source systems will impact downstream analytical models and institutional metrics. 20% Applies advanced IT architecture concepts to function as the highest level technical expert. Often serves as consultant to management. May lead or provide guidance to large development team in design of highly complex software systems. Advises on selection of technological purchases with regards to processing, data storage, data access and software development. Functions as the highest-level technical data architecture expert in UCR ITS. Serve as the "Data Architectural Review Board" for campus software development teams. During the design phase of new transactional applications, you will review proposed schemas to ensure they follow normalization best practices and will integrate seamlessly with the broader enterprise ecosystem, ensuring consistency and integrity of data collection.
Goal:
Prevent data duplication, data quality issues, data silos, and alignment of enterprise datasets at the point of creation rather than trying to fix them later in the Warehouse. 15% Defines the source of truth for institutional datasets (e.g., Student, Faculty, Course). Establishes the structural standards that ensure data is secure by design. Ensures that the Semantic Layer is architected so that disparate departments can consume data through a unified, governed lens. Together with data stewards, ensure the data dictionary is complete and up-to-date for all institutional datasets. 15% Partners with Data Engineering, Infrastructure, and Database Administration teams to ensure that architectural designs are successfully deployed and performant. Acts as the bridge between the "Blueprint" (Design) and the "Build" (Implementation), ensuring the final technical environment accurately reflects the intended data models and security protocols. 5% Special Conditions Must pass a background check. Occasional travel for university related business meetings, conferences and/or professional development. Exercise the utmost discretion in managing sensitive information learned in the course of performing their duties. Sensitive information includes but is not limited to employee and student records, health and patient records, financial data, strategic plans, proprietary information, and any other sensitive or non-public information learned during the course and scope of employment. Understands that sensitive information should be shared on a limited basis and actively takes steps to limit access to sensitive information to individuals who have legitimate business need to know. Ensure that sensitive information is properly safeguarded. Follow all organizational policies and laws on data protection and privacy. This includes secure handling of physical and digital records and proper usage of IT systems to prevent data leaks. The unauthorized or improper disclosure of confidential work-related information obtained from any source on any work-related matter is a violation of these expectations. Travel Outside of Normal Business Hours
