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Senior Data Architect

$247k
Full-time

University of Southern California

Salary: $247,000 - 247,000 per year Requirements:

  • A bachelors or equivalent degree in Computer Science, Computer Information Systems, or a related technical field, plus 5 years of progressive post-baccalaureate experience in a related data architecture, engineering, database, or data science role; or a bachelors or equivalent degree in another technical or engineering field, plus 6 years of such experience.
  • At least 2 years of experience with AI architecture, including large language models (LLMs), prompt engineering, and semantic search; data architecture and solution design; cloud data platforms; data modeling and management standards; data integration and engineering; data governance, quality, and security; privacy and regulatory compliance; stakeholder engagement and communication; and strategic planning.
  • Strong spoken and written English communication skills, including the ability to work effectively with senior management, staff, and IT teams remotely.
  • Must be authorized to work full-time in the United States without employer sponsorship.
Responsibilities:
  • Develop and implement conceptual, logical, and physical data architecture strategies that support institutional data initiatives.
  • Define and uphold policies for data governance, quality, metadata, and master data management.
  • Design and oversee integrations that support reliable data exchange between on-premises and cloud systems and across academic and administrative applications.
  • Lead hybrid and multi-cloud adoption, legacy database migration, and development of cloud-native data solutions.
  • Establish security policies and protocols for sensitive financial, HR, and student information, ensuring compliance with FERPA, HIPAA, and other relevant regulations.
  • Work with institutional leaders, faculty, and IT teams to identify data needs, develop solutions, and align initiatives with organizational goals.
  • Monitor and improve database and data pipeline performance, addressing latency and scalability needs.
  • Build robust data platforms that make high-quality data available for predictive modeling, AI, and machine learning.
  • Lead cross-functional data projects, coordinating timelines, resources, and deliverables.
  • Mentor data engineers, integration developers, analysts, and fellow architects, encouraging innovation and continuous learning.
  • Evaluate emerging technologies and recommend tools and solutions that support the institutions future data capabilities.
  • Maintain documentation of data architecture, integration flows, and processes, and prepare reports for institutional leaders and compliance audits.
Technologies:
  • AI
  • Cloud
  • Support
  • Machine Learning
  • Security
  • Architect
  • Flow

More:

We are hiring for a data architecture role supporting an institutions academic and administrative data initiatives. The position has no supervisory duties or direct reports. Work may be performed remotely from a home office, with the schedule subject to manager approval. The annual pay range is $201,357.39–$247,855.37.

last updated 40 week of 2026

Vacancy posted 2 days ago
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