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Tier-1 brand, metro location, and common data-engineer role create moderate applicant competition.
Core data engineering skills transfer across industries, though compensation-domain (Varicent) knowledge raises sensitivity.
Requires specific Azure/Databricks/data-architecture and leadership skills, indicating medium strictness.
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Lead cross-regional business engagement to define data rules, business logic, and unified data definitions.
Architect and modernize compensation data processing pipelines into scalable, cloud-native Azure environments using services like Data Factory, Databricks, and Data Lake.
Drive process re-engineering and automation initiatives across North American and European data workflows to improve orchestration and master data management strategies.
Proficiency in Azure, Databricks, SQL, and data modeling.
Experience leading teams and conducting client interviews for data discovery and requirement gathering.
Work Experience Required: Not explicitly mentioned in the JD.
Ability to work onsite in Chennai, Tamil Nadu, India as the job location is specified.
Experienced in architecting cloud-native data solutions on Azure, particularly for complex compensation data workflows.
Capable of driving cross-functional consensus and leading multi-geography teams for business data modernization.
Skilled in transforming legacy manual or inconsistent processes into standardized, automated workflows supporting auditability and scalability.