Technical Expert Roles - Enterprise Data and Technology Initiative

The Los Angeles County Office of Education (LACOE) is seeking senior technical experts for its Enterprise Data Lake initiative. LACOE is developing a secure, enterprise data and analytics environment centered on Microsoft Azure, Fabric, OneLake, and Power BI to integrate operational, educational, financial, and external data across the organization.

These positions are hybrid, with periodic in-person meetings; candidates in the Los Angeles area are preferred. Fully remote arrangements may be considered for exceptionally qualified candidates.

• Qualifications: Significant enterprise data architecture experience in complex organizations; strong Microsoft Azure, Microsoft Fabric, OneLake, Lakehouse/Warehouse patterns; expertise in layered data architectures, integration patterns, semantic architecture, and reusable data products; experience designing architecture that supports both BI/reporting and analytical access through SQL, Python, R, or comparable tools

Cloud / Data Platform Engineer Translates approved architecture into a stable, secure, and supportable platform environment.

• Key Responsibilities: Configure Azure/Fabric/OneLake environments; establish Dev/Test/Prod standards, workspace structures, and CI/CD pipelines; configure monitoring, cost controls, and Purview metadata/lineage.
• Qualifications: Strong Azure cloud and enterprise data-platform engineering experience; hands-on Microsoft Fabric and OneLake experience; experience with Fabric capacities, workspaces, Lakehouses, Warehouses, deployment pipelines, and Power BI environments; understanding of CI/CD, Git/source control, release management, configuration management, and production support; familiarity with metadata/catalog and lineage capabilities such as Microsoft Purview; experience implementing secure, supportable, reusable platform patterns across multiple teams or workloads .

Security / Privacy Engineer: Data Platforms Brings specialized data platform security expertise to LACOE’s enterprise data environment, establishing and implementing the identity, security, and data-protection foundation for the platform in alignment with governance policy.

• Key Responsibilities: Lead the development of data platform security practices within Technology Services, complementing LACOE’s established application and infrastructure security programs; partner with information security and data governance teams to extend existing security standards to the enterprise data environment; implement RBAC/ABAC access models for complex district/program structures based on governance-defined access policy; enforce data isolation and lifecycle privacy controls; secure service identities, credentials, and audit logging; develop standards and documentation and share data platform security knowledge across teams.
• Qualifications: Strong Azure and Microsoft identity/security experience, including Microsoft Entra ID; experience securing enterprise cloud data and analytics platforms; deep knowledge of RBAC, ABAC, least privilege, privileged access, service identities, secrets management, and audit controls; experience designing access for complex organizational structures or multi-tenant/multi-audience environments; familiarity with Microsoft Fabric, Power BI security, Purview, sensitivity/classification capabilities, and data-platform monitoring; experience working with sensitive or regulated data; education, government, healthcare, or similar environments would be valuable; demonstrated ability to introduce new security practices in an organization by working collaboratively with established security teams and building alignment across technical groups.

Data Engineer: Integration & Pipelines Builds repeatable, production-grade ingestion and transformation pipelines from diverse source systems.

• Key Responsibilities: Connect databases, APIs, SFTP, and vendor systems; build layered transformations (Bronze/Silver/Gold); implement data quality, reconciliation, and automated refresh monitoring.
• Qualifications: Strong hands-on data engineering experience in Azure or comparable modern cloud environments; experience building production pipelines from APIs, relational databases, files, SFTP, and vendor-hosted systems; strong SQL skills plus Python, PySpark, or comparable data-engineering experience; experience with Microsoft Fabric Data Factory, Azure Data Factory, Fabric notebooks, Spark, or comparable orchestration/transformation technologies; understanding of Lakehouse patterns, Bronze/Silver/Gold data layers, reusable curated data structures, and technical lineage; experience with CI/CD, testing, pipeline monitoring, data-quality controls, and production support; ability to work directly with source-system SMEs to understand both technical constraints and the meaning of incoming data.

Additional Requirements: A valid California driver’s license and the availability of private transportation or the ability to obtain transportation between job sites is required.