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Senior, specialized data-platform leadership reduces broad applicant pool despite Bangalore location.
Requires deep data-platform and investment-technology experience, making industry-relevant backgrounds preferable.
Explicit 15+ years and mandatory Databricks/Snowflake/cloud experience create strict screening filters.
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Lead architecture and delivery of scalable, secure, enterprise-grade data platforms using cloud-native technologies (AWS, Azure, GCP).
Drive modernization initiatives across analytics, data engineering, AI, ETL/ELT, and cloud platforms, ensuring operational excellence and engineering standards.
Develop, mentor, and manage high-performing engineering teams while building trusted partnerships across global business and technology stakeholders.
15+ years of experience in software engineering, data engineering, or platform engineering.
Proven experience architecting and delivering at least two large-scale enterprise transformation programs.
Strong technical expertise in Databricks, Snowflake, Data Warehousing, ETL/ELT design, Lakehouse architectures, distributed data processing, and programming (Python, Spark/PySpark, SQL, Unix/Shell Scripting; Java preferred).
Experience with one or more cloud providers: AWS, Microsoft Azure, or Google Cloud Platform (GCP).
Senior engineering leader with proven hands-on architecture and delivery capability for enterprise-scale data platform transformations.
Experienced in managing cross-functional stakeholder relationships aligning technical solutions with strategic business priorities.
Comfortable operating in complex environments requiring expertise in cloud-native data ecosystems, DevOps, and operational governance.