Senior Data & Analytics Engineer — Modern Platform & AI, Hybrid

Socket.dev

San Diego (CA)

On-site

USD 140,000 - 155,000

Full time

4 days ago

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Benefits offered by this job

Profit sharing

Paid time off 10 days/yr

10 holidays + 2 personal days

Job summary

MG Properties is seeking a Senior Data & Analytics Engineer to lead the development and long-term ownership of our enterprise data and analytics platform. The role covers the Fabric environment, lakehouses, semantic models, reporting, governance, access controls, and AI-enabled analytics.

This senior IC will partner with leaders to translate business needs into analytics roadmaps, expand the platform, and ensure governed, scalable solutions across finance, investor relations, investments, and

Qualifications

8+ years of enterprise data platform experience.
Experience with Microsoft Fabric and lakehouse architecture.
Advanced Power BI development and governance.
Strong SQL, DAX, Power Query skills.
Ability to translate business needs to technical solutions.
Experience migrating reporting from Excel to governed platforms.

Responsibilities

Own and administer the Microsoft Fabric environment, including lakehouses, OneLake storage, workspaces, SQL Analytics endpoints, capacity, performance, refresh operations, and access controls.
Design, build, and maintain scalable semantic models, Power BI reports, and dashboards for finance, investor relations, investments, and operations.
Lead the migration of existing Yardi-native Power BI reporting to the new Microsoft Fabric platform.
Replace manual, Excel-driven reporting with governed and scalable solutions.
Establish consistent definitions, reporting standards, and trusted data sources across the organization.
Partner with department leaders to understand business needs and translate them into a prioritized analytics roadmap.
Establish governance standards for data access, row-level security, workspace administration, report lifecycles, lineage, and content certification.
Build AI-enabled analytics, natural-language querying, and data agents in partnership with the Director of IT.
Evaluate and implement Microsoft Copilot capabilities and custom agents where they provide meaningful business value.
Create documentation, guides, and training to support business users and responsible self-service analytics.
Serve as the primary escalation point for data and AI initiatives across departments.
Expand the platform over time to incorporate SharePoint, operational systems, and other data sources.