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Tier-1 brand and Bangalore metro increase applicant density, but senior specialization mitigates competition.
Core data architecture skills transfer across industries, but compensation-domain and Varicent experience increase specificity.
Mandatory Azure, Databricks, data modeling and architecture responsibilities enforce stringent candidate filtering.
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Lead architecture and re-engineering of compensation data processing into a scalable, cloud-native Azure environment with unified master data models replacing legacy tools.
Conduct cross-regional business workshops to standardize data definitions, business rules, and processes across North America and Europe.
Drive process modernization including automation, file integration rationalization, and strategic impact modeling supporting high-accuracy compensation workflow transformations.
Strong expertise in Azure services (Data Factory, Databricks, Data Lake, SQL) and data modeling.
Experience leading technical architecture for data-intensive applications and managing cross-functional teams.
Proven ability to engage with business users and drive consensus on data definitions and business rules.
Work Experience Required: Not explicitly mentioned in the JD.
Experienced technical/data architect with focus on cloud-native data solutions and enterprise data ownership shifting away from third-party tools.
Skilled at managing large-scale transformation roadmaps involving multi-geography teams and complex data/process integrations.
Comfortable operating at the intersection of business and technology to align data architecture with strategic and compliance needs in compensation systems.