Principal Information Systems Analyst - Cloud Specialization

Salary Range: $10,214.44 - $11,992.20 monthly 

SUMMARY

The Data & Analytics Unit is responsible for collecting, analyzing, and interpreting healthcare data to support decision-making across the Los Angeles County Department of Health Services (DHS).

The unit manages patient care and operational data, using analytics to identify patterns, predict outcomes, and improve service delivery.

The unit also ensures data integrity, governance, and regulatory compliance.

The Data & Analytics Unit is seeking a Principal Information System Analyst to serve as a technical expert for Azure-based data engineering initiatives, specializing in Microsoft Azure Synapse, Fabric, and modern cloud data architectures.

This role designs, implements, and optimizes large-scale data pipelines, cloud-native processing solutions, and integration services, while providing technical guidance and strategic direction across the Data & Analytics organization.

ESSENTIAL FUNCTIONS
1.

Serve as a technical subject matter expert for Azure-based data engineering and analytics platforms.
2.

Architect, design, and implement scalable data processing and integration solutions using Azure Synapse Analytics and Microsoft Fabric.
3.

Develop and optimize end-to-end data pipelines for ingesting, transforming, and delivering large volumes of structured and unstructured data.
4.

Implement cloud-native data processing using notebooks, PySpark, and distributed compute frameworks.
5.

Design and maintain ETL solutions that support medallion architecture patterns (bronze/raw, silver/curated, gold/consumption-ready layers).
6.

Develop and maintain Azure Function Apps, including backend services and integrations using C#.
7.

Ensure performance, reliability, security, and cost optimization of Azure data solutions.
8.

Define and enforce data engineering standards, best practices, and architectural patterns.
9.

Collaborate with enterprise architecture, security, and DevOps teams to align solutions with organizational standards.
10.

Support production operations, troubleshooting complex issues, and driving root cause resolution.

JOB QUALIFICATIONS

The ideal candidate will have experience with big data and distributed data processing technologies such as Hadoop and Spark, including PySpark and notebook-driven development, as well as strong knowledge of cloud-based data platforms (e.g., AWS, Azure, Google BigQuery, OCI).

Experience using agile methodologies, project management tools, and developing stakeholder-facing materials such as dashboards, presentations, and training documentation is required.

Education/Experience


* Bachelor's degree or higher from an accredited institution in Computer Science, Information Technology/Systems or a closely related quantitative field.


* 5+ years of experience, with 2+ years at a Senior Information Systems Analyst level creating complex data models from transactional clinical and operational data for use in interac...