Enterprise Programmer Analyst- Data and Analytics

Enterprise Programmer Analysts – Data and Analytics (EPAs)

Enterprise Programmer Analysts – Data and Analytics (EPAs) perform complex and advanced business systems analysis and database, application, data pipeline, programming and analytic reporting architecture and development. This position assumes a leadership role in architecting and developing enterprise data platforms, data frameworks and solutions for departments and serves as an integral part of the change management process.

EPA – Data and Analytics position(s) are experts at:

• Acting as the Lead Architect who mentors subordinate staff with technical blueprinting and data initiatives which may result in the selection of third‑party software or coordinating development of custom‑built application and data solutions for data initiatives, in accordance with data lifecycle management.
• Architecting data solutions that deliver value to customers, taking into consideration project budget, scalability, business continuity, standard practices, licensing, county policies, cross‑department regulations, and potential impacts to countywide infrastructure.
• Data frameworks, data architecture, and practices that take into consideration multi‑department, multi‑agency, and multi‑system requirements, security, and data recovery.
• Developing specialized solutions that enhance data sharing across departments; promoting collaborative infrastructure and providing geographic context for countywide strategic initiatives and decision‑making.
• Architecting and creating reports and dashboards, data pipelines, and advanced data concepts such as data warehousing, ETL, ELT, and being an expert on BI platforms such as Power BI, ArcGIS Online, and Tableau.
• Providing subject‑matter expertise when collaborating with technical and business personnel across all departments in the maintenance and support of hardware and software, along with the interactivity and interfaces between those businesses and applications.
• Integrating Artificial Intelligence technology into data solutions and the data technology stack.

Official job title:
Enterprise Programmer Analyst. For more detailed information, refer to the Enterprise Programmer Analyst job description.

EXCELLENT BENEFITS! To review the job‑specific benefits, refer to:
Summary of Benefits, Memoranda of Understanding (MOU).

Pre‑Employment Process:
Applicants must pass a background investigation, which includes fingerprinting, work history & education check, as well as a job‑related physical exam.

Travel:
Travel throughout the County may be required and employees will be required to make provisions for such transportation.

Availability:
Incumbents may occasionally work evening and weekend hours. Some overtime, on‑call, or call back work may be required.

Sponsorship:
San Bernardino County is not able to consider candidates who will require visa sponsorship at the time of application or in the future.

Required Experience: Four (4) years of full‑time equivalent experience working in a data engineering or data integration role building data products and solutions, implementing and managing data warehouses, software development, performing business systems analysis, architecting, and project planning for the purpose of developing business applications, data pipelines and business intelligence solutions.

Qualifying experience must include use of three (3) or more of the following primary data frameworks, data tools, data platforms and development languages for data‑specific solutions:

• Azure Synapse
• Azure Data Factory
• Azure Data Lake
• One Lake
• Fabric
• Data Warehousing
• Spark
• Python
• R
• .Net/.Net Core
• ASP/ASP.Net
• SQL Server
• Power BI
• Tableau
• ArcGIS
• Power Platform
• Azure AI Foundry
• Copilot
• Copilot Studio
• XML
• JSON
• ETL/ELT

Typical qualifying experience may include performing duties equivalent to the San Bernardino County Programmer Analyst III classification and above.

Required Leadership

Experience:

Must include a minimum of two (2) years working as a project leader for large‑scale data platform implementations, data migrations, data conversions, data quality, data integration or data management projects. Experience must also include the…