





Senior leadership and niche platform demands reduce candidate density.
Requires specific cloud, data platform and Java microservices expertise, moderately limiting cross-industry transferability.
Requires deep platform, cloud, data, and leadership expertise, enforcing strict technical and managerial filters.
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Define and execute multi-year engineering strategy for enterprise platforms including backend, frontend, and data ecosystems.
Lead multiple engineering teams and establish architecture governance, delivery KPIs, and operational excellence standards.
Drive cloud-native transformation, oversee Snowflake and Databricks integration, and improve deployment frequency, release quality, and platform reliability.
Deep expertise in Java (Spring Boot, microservices, concurrency) and strong React platform architecture knowledge.
Experience with enterprise cloud architecture (AWS/Azure/GCP).
Strong understanding of Snowflake and Databricks data ecosystems.
Work Location: Chennai office full-time, Monday to Friday. Work Experience Required: Not explicitly mentioned in the JD.
Experienced leader capable of managing multiple engineering teams and building leadership bench strength across Managers, Architects, and Principals.
Strategic thinker with ability to align engineering roadmap to business objectives and drive AI/ML and BI strategy integration.
Hands-on technical expertise in scalable distributed systems, cloud-native architectures, and data platform modernization.