Senior Data Analytics Solutions Architect

CSUN strives to be a destination workplace, where everyone understands that they belong to a community that is vital in advancing student success and providing exemplary service to all stakeholders. We foster an environment of success, both for our students and our employees. We have a relentless passion for celebrating diversity, equity, and inclusion as well as being an employer of choice. You will also have the opportunity to realize your own personal goals and be recognized for the work you do, and enjoy the unique value the CSUN community can offer. If this sounds like you, you've come to the right place. Learn more: https://www.csun.edu/about-csun.

We are seeking a senior technical contributor responsible for architecting, building, and supporting enterprise data and analytics solutions that translate complex academic and administrative needs into production ready, data driven outcomes. This hands on role designs and implements data platforms, integrations, pipelines, and automation; produces reusable technical assets; and provides technical leadership across analytics, reporting, and workflow automation initiatives. Operating with a high degree of professional independence, the role ensures solutions align with enterprise architecture standards and meet institutional requirements for data governance, security, privacy, accessibility, and quality.

Major Duties

Under general supervision, the Senior Data Analytics Solutions Architect provides advanced technical expertise across data architecture, analytics, and automation. This role partners with campus stakeholders to translate complex business needs into scalable, secure, and governed data solutions, independently designing and delivering integrations, analytics, and reporting capabilities aligned with enterprise standards.

Key Responsibilities

Data Architecture and Solution Design

• Translate business requirements into technical specifications, data models, process maps, and documented end-to-end data solutions
• Design scalable data architectures that support analytics, reporting, and automation use cases across campus systems

Data Integration and Engineering

• Design and implement ETL pipelines, APIs, and data integrations across institutional platforms, including ServiceNow
• Ensure solutions align with data governance, security, and enterprise integration standards

Analytics and Reporting

• Develop and maintain complex dashboards, visualizations, and reporting solutions using institutionally selected platforms such as Tableau, Power BI, and Amazon QuickSight
• Partner with functional teams to ensure analytics solutions are actionable, accurate, and aligned with decision-making needs

Data Quality and Operational Excellence

• Implement data quality checks, monitoring, and validation processes to ensure accuracy, completeness, and consistency across datasets
• Troubleshoot and resolve complex data and integration issues across systems

Innovation and Technical Advisory

• Evaluate and pilot emerging technologies and analytics approaches
• Provide technical recommendations and architectural guidance to department leadership to inform future investments and strategy
• Perform other duties as assigned

NOTE: To view the full position description, including all of the required qualifications, copy and paste this link into your browser: https://mycsun.box.com/s/97zib9u6ny7c5hrv8dxxv6b8nfkp5i5x

Qualifications

• Equivalent to a bachelor's degree in a related field and five years of relevant experience.
• Additional experience which demonstrates acquired and successfully applied knowledge and abilities shown below, may be substituted for the required education on a year-for-year basis.
• An advanced degree in a related field may be substituted for the required experience on a year-for-year basis.

Preferred Qualifications:

• Bachelor's degree in Information Systems, Computer Science, Data Analytics, Data Science.
• Hands-on & progressively responsible experience in data architecture, data engineering , and analytics.
• Skilled programmer, experienced in modern programming and query languages (e.g., C#, Python/PySpark, Java, SQL) to support development, data transformation, analytics, automation and system integration is a plus.
• Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making.
• Demonstrated experience designing and implementing ETL/ELT pipelines using modern SAAS or cloud Integration platforms (e.g., Boomi, Talend, AWS Glue, Azure Data Factory etc.,) .

Knowledge, Skills, & Abilities

• Demonstrated experience in business process design and optimization, in data-intensive environments.
• Proven ability to translate business and analytical requirements into technical specifications, data models, integration logic, and analytics-ready data solutions.
• Expert knowledge of data modeling, statistical analysis, machine learning, and optimization techniques.
• Expert in leading and executing complex, high-impact data analytics projects and initiatives.
• Demonstrated ability to analyze unique problems without precedent and develop innovative approaches, methods, or techniques.
• Experience serving as a consultative expert for cross-functional teams on data analytics strategy and delivery.
• Solid working knowledge of data warehousing and data lake architecture and concepts.
• Strong understanding of data governance principles, including data quality, security, privacy, access controls, and metadata management.
• Strong working knowledge of cloud-based data and analytics ecosystems and modern data architectures (e.g., data Lakehouse, medallion architecture, or similar patterns).
• Experience supporting analytics and reporting platforms (e.g., Tableau, Power BI, or similar), with an understanding of how data design impacts dashboard performance and usability.
• Excellent written and verbal communication skills, including the ability to lead discovery sessions, deliver presentations, provide solution walkthroughs, and support training for non-technical audiences.
• Independent, highly self-motivated team player with a positive, collaborative approach and the ability to work independently while contributing as a senior technical resource on larger initiatives.
• Demonstrated analytical, problem-solving, and organizational skills, with the ability to manage multiple priorities in a project-based environment.
• Experience with advanced analytics, including predictive modeling, data science, or statistical analysis to support data-driven decision-making.

Pay, Benefits, & Work Schedule

• The university offers an excellent benefits package, including but not limited to: medical, dental, vision, retirement & savings, tuition waiver and more.
• Classification: 0406 / Data Analytics Developer IV / Grade 1
• The anticipated HIRING RANGE: $8,231 mo - $11,077 per month, dependent upon qualifications and experience. The salary range for this classification is: $8,231 mo - $11,990 per month.
• HOURS: Full Time; 40 hours per week; Monday through Friday. May include evenings and weekends.
• This is a Regular position with a one-year probationary period.
• The position is currently hybrid (2 days in office, 3 days remote); however, this is subject to change based on student and/or operational needs.