Lead Analytics Architect

Korn Ferry; San Jose (CA); On-site; USD 150,000 - 190,000; Full time

Job summary

Korn Ferry Group is seeking a Lead Analytics Architect / Analytics Engineer to design, develop, and govern enterprise analytics using Power BI, Fabric, and Databricks. This hands-on role translates KPI definitions into scalable data models and governed semantic assets while setting data quality and security standards.

You will lead BI developers, analysts, and data engineers, establish standards, and ensure reliable production support across environments.

Qualifications

• Bachelor's degree in Computer Science, Information Systems, Data Engineering, Data Analytics, or related field.
• 8+ years of experience in analytics engineering, BI, semantic modeling, data platforms, or related technical roles.
• Advanced SQL and hands-on Azure Databricks and Delta Lake experience.
• Deep experience with Power BI semantic models, DAX, dimensional modeling, and model optimization.

Responsibilities

• Design and manage enterprise Power BI semantic models and curated analytical datasets.
• Develop and optimize SQL transformations, tables, and views within Azure Databricks and Delta Lake.
• Translate business requirements and KPI definitions into scalable analytics solutions.
• Establish modeling, governance, KPI, lineage, naming, security, and data-quality standards.
• Develop reusable DAX measures, calculation groups, relationships, and semantic-model structures.
• Implement testing, reconciliation, RLS/OLS security, and source-to-report validation processes.
• Manage version control, deployment, monitoring, refresh, and production support across Power BI and Databricks.

Skills

SQL proficiency

Power BI modeling

DAX

Data analytics concepts

Leadership

Education

Bachelor's degree in Computer Science/related field

Tools

Azure Databricks

Delta Lake

Microsoft Fabric

OneLake

Direct Lake

DirectQuery

Power BI Service

Unity Catalog

Job description

Korn Ferry is partnering with a global transportation and logistics manufacturing organization in their search for a Lead Analytics Architect / Analytics Engineer.

Position Summary

The Lead Analytics Architect / Analytics Engineer will lead the design, development, and governance of enterprise analytics solutions across Power BI, Microsoft Fabric, and Azure Databricks. Reporting to the Director of FP&A, this hands‑on role will translate business and KPI requirements into scalable data models, curated analytical datasets, and governed semantic assets while establishing standards for data quality, security, performance, and deployment.

Key Responsibilities

• Design and manage enterprise Power BI semantic models and curated analytical datasets
• Develop and optimize SQL transformations, tables, and views within Azure Databricks and Delta Lake
• Translate business requirements and KPI definitions into scalable, reusable analytics solutions
• Establish modeling, governance, KPI, lineage, naming, security, and data‑quality standards
• Develop reusable DAX measures, calculation groups, relationships, and semantic‑model structures
• Implement testing, reconciliation, RLS/OLS security, and source-to-report validation processes
• Manage version control, deployment, monitoring, refresh, and production support across Power BI and Databricks environments
• Troubleshoot data quality, model performance, capacity, connectivity, and refresh issues
• Lead technical design reviews and provide guidance to BI developers, analysts, and data engineering teams
• Maintain technical documentation, source-to-target mappings, model definitions, and operating procedures

Qualifications

• Bachelor’s degree in Computer Science, Information Systems, Data Engineering, Data Analytics, or related field
• 8+ years of experience in analytics engineering, business intelligence, semantic modeling, data platforms, or related technical roles
• Advanced SQL and hands‑on Azure Databricks and Delta Lake experience
• Deep experience with Power BI semantic models, DAX, dimensional modeling, and model optimization
• Strong experience with Microsoft Fabric, OneLake, Direct Lake, DirectQuery, and Power BI Service
• Experience with enterprise data architecture, lakehouse/medallion patterns, data governance, security, testing, and deployment
• Experience with version control, APIs, automation, and analytics deployment practices
• Manufacturing, logistics, finance, or other operationally complex industry experience preferred
• Microsoft certifications and experience with Microsoft Purview, Unity Catalog, or Fabric administration preferred
• Strong technical leadership and communication skills with the ability to influence cross‑functional stakeholders