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Metro location, strong brand, and broad skillset increase candidate competition for this senior role.
Enterprise-scale data engineering and Azure/AI expertise moderately limit cross-industry transferability.
Explicit 8-12 years and mandatory enterprise data, Azure, and AI expertise make shortlisting highly stringent.
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Define and implement enterprise-wide data engineering standards and AI innovation frameworks to drive digital transformation.
Lead strategic data engineering initiatives including enterprise-scale architecture design and end-to-end product development for data platforms.
Lead technology teams inclusively, make critical technology decisions, and facilitate cross-functional collaboration impacting enterprise-wide data strategy.
Bachelor’s or Master’s degree in Computer Science, Information Systems, Mathematics, Statistics, or related field.
8-12 years of progressive experience in data engineering with demonstrated leadership impact.
Expert-level technical skills including Python, full-stack development, Azure services, and advanced data modeling.
On-site location requirement: Bengaluru, Karnataka, India.
Proven ability to lead enterprise-wide data engineering strategy and drive digital transformation initiatives.
Experienced in designing and implementing complex, enterprise-scale data architectures and AI automation frameworks.
Track record of strategic technology leadership with cross-platform expertise and influencing senior leadership on technology investments.