Log In
Sign Up
Who We AreFounded in 1965, UC Irvine is a member of the prestigious Association of American Universities and is ranked among the nation’s top 10 public universities by U.S. News & World Report. The campus has produced five Nobel laureates and is known for its academic achievement, premier research, innovation and anteater mascot. Led by Chancellor Howard Gillman, UC Irvine has more than 36,000 students and offers 224 degree programs.
It’s located in one of the world’s safest and most economically vibrant communities and is Orange County’s second-largest employer, contributing $7 billion annually to the local economy and $8 billion statewide.To learn more about UC Irvine, visit Office of Information Technology (OIT) is a campus-wide service organization dedicated to the strategic planning, implementation, and support of technology products and services that anticipate and meet the academic, research, and administrative needs of the UCI community. OIT offers technical leadership and services to our clients with a focus on providing innovative solutions, delivering exceptional customer service, and creating a reliable infrastructure that demonstrates value to the students, faculty, staff, alumni, and the broader community.Under the direction of the Data Warehouse ETL Manager, the Cloud Data Platform Architect 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.As a key member of the Data & Information Management division in OIT, the incumbent is responsible for the implementation and administration of scalable, cloud-based data and analytics platforms across the UCI data ecosystem, leveraging a variety of DataOps, data warehousing and system administration methodologies and disciplines.Your Role on the TeamKnowledge of data warehousing principles, including data quality, enrichment, standardization, and modeling.
Knowledge of best practices for database optimization, data governance, security, resilience, and operational monitoring. Demonstrated ability to design and build cloud data infrastructures in support of data analytics, data science, AI, Machine Learning, and other data initiatives for a large organization. RequiredDemonstrated effective communication and interpersonal skills, including the ability to communicate technical information to technical and non-technical personnel at various levels in the organization. RequiredAbility to understand business needs and how data systems can support those needs.
RequiredDemonstrated ability to work with others from diverse backgrounds. RequiredSelf-motivated and works independently and as part of a team. Demonstrates problem solving skills. Able to learn effectively and meet deadlines.
RequiredProficiency in programming/scripting languages such as, Python, Java, etc. Demonstrated knowledge of agile software development lifecycle and/or dataops methodologies. Proficiency in change management software such as GitHub, etc. Advanced expertise in SQL development.
RequiredDemonstrated ability to translate business needs into long-term data architecture solutions. Expertise relating to the design and development of data systems across the organization. RequiredDemonstrated knowledge of cloud data storage solutions, such as blob storage, data lakes, data lake houses, and data warehouses. Demonstrated ability implementing and automating data infrastructures in support of a data ops and/or a continuous integration and delivery/deployment (CI/CD) development framework.
RequiredAbility to implement and support cloud data lake services using AWS solutions such as S3, CloudFormation, Redshift, Glue, Lambda, SageMaker, and Athena. RequiredAdhere to OIT’s cultural values: Collaboration, Respect, Trust, Transparency, Quality, Inclusiveness, Customer Centricity, and Learning and Growth. RequiredWhat It Takes to be SuccessfulTotal CompensationThe expected pay range for this recruitment is $111,200- $215,000 (Annual).Required:Bachelor’s degree in related area and / or equivalent experience / training.A minimum of 5 years of IT experience demonstrating a progression of increasing responsibility.Two (2) plus years implementing cloud-based data infrastructures in support of data analytics services.Special Conditions:Must be able to work outside of normal business hours and occasionally on weekends.Conditions of Employment:Background Check and Live ScanLegal Right to work in the United StatesVaccination PoliciesSmoking and Tobacco PolicyDrug Free EnvironmentThe University of California, Irvine (UCI) seeks to provide a safe and healthy environment for the entire UCI community. As part of this commitment, all applicants who accept an offer of employment must comply with the following conditions of employment.
Details of each policy may be reviewed by visiting the following page – Statement:The University of California, Irvine is an Equal Opportunity/Affirmative Action Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, age or protected veteran status.For the University of California’s Affirmative Action Policy please visit: the University of California’s Anti-Discrimination Policy, please visit: are committed to attracting and retaining a diverse workforce along with honoring unique experiences, perspectives, and identities. Together, our community strives to create and maintain working and learning environments that are inclusive, equitable, and welcoming.UCI provides reasonable accommodations for applicants with disabilities upon request.
#J-18808-Ljbffr
