Conduct performance tuning, capacity planning, and system analysis to optimize database and application efficiency
Evaluate and resolve complex data and software issues affecting system functionality or reporting accuracy
Analyze technical requirements and translate business needs into functional system specifications
Assess and document dependencies, workflows, and system interactions to support long-term sustainability and interoperability
Recommend configuration changes, performance improvements, or architecture modifications based on analysis results
Design and document data architectures, integration layers, and system interfaces that enable reliable information sharing across platforms
Research and evaluate emerging technologies, such as data lakes, lakehouses, and cloud-native architectures, to enhance institutional analytics
Recommend technical standards, tools, and design patterns that align with University policies and strategic objectives
Ensure that systems are designed with scalability, maintainability, and security as core principles
Collaborate with infrastructure and security teams to ensure compliance with institutional and regulatory requirements
Partner with FPB, IT, and academic units to ensure that data systems meet functional and analytical requirements
Document technical specifications, system diagrams, and workflows to support knowledge transfer and system sustainability
Communicate technical information clearly to diverse audiences, bridging the gap between technical and non-technical stakeholders
Provide expert consultation and guidance to project teams on database design, system integration, and performance optimization
Support users and analysts through training, documentation, and technical troubleshooting
Identify opportunities to enhance automation, streamline data processes, and improve data accessibility across the University
Contribute to initiatives that strengthen the University’s analytic capabilities and data-driven decision-making
Participate in cross-functional discussions that align data infrastructure with institutional planning and financial strategy
Foster innovation and continuous improvement in system design, development practices, and technical operations
Other duties as assigned
Bachelor’s degree in computer science, information systems, data engineering, or a related technical field, and five or more years of progressive experience in database design, software development, or systems integration
An equivalent combination of education and experience from which comparable knowledge and skills have been acquired may substitute for a degree
Proficiency in systems design and design principles, developing, and sustaining both relational and non-relational databases, as well as data-centric applications
Possesses deep expertise in system design and enterprise architecture frameworks, enabling the creation and deployment of scalable, high-performance data solutions that serve organizational needs efficiently and reliably
Proficiency in SQL and experience creating and optimizing complex queries, stored procedures, and data transformations
Experience with data integration and ETL / ELT frameworks, including scripting and automation for data flow and transformation
Proven ability to analyze system requirements, develop functional and technical specifications, and translate business needs into system solutions
Experience with software development best practices, including version control, documentation, and testing
Expertise in designing and implementing advanced data architecture patterns including data warehouses, data lakes, and lakehouses with a proven track record of effectively managing, integrating, and optimizing both structured and unstructured data across complex, large-scale environments
Knowledge of system performance tuning, capacity planning, and database optimization for large or complex data environments
Excellent problem-solving, analytical, and debugging skills applied to complex technical and data challenges
Excellent written and verbal communication skills, with the ability to explain technical concepts to diverse audiences
Demonstrated ability to collaborate effectively across technical and non-technical teams and manage multiple priorities in a dynamic environment
Demonstrated experience in working on diverse groups and teams; create a culture of inclusion and equity throughout the team while supporting the overall culture of FPB
Master’s degree in computer science, data engineering, or a related discipline
Experience with Azure Data Services or other cloud-based data services and architectures, such as AWS, Snowflake, or Databricks
Familiarity with enterprise financial systems (e.g., Workday Financials, Oracle, SAP) and related reporting environments
Knowledge of programming languages (e.g., Python, R, PowerShell, or C#) for data processing, automation, or system integration
Experience implementing or supporting data governance, information security, and compliance frameworks
Background in higher education, public-sector, or large-scale institutional data systems
Certification or formal training in database administration, software engineering, or cloud data architecture### BenefitsThere are many perks to working for the University of Washington. Learn more about the that could be available to you as a UW employee.
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Database Developer • Seattle, WA, United States
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