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Strong corporate brand and metro location versus senior, specialized role reduces but still moderate competition.
Data engineering and AI leadership skills are transferable across industries but expect preference for enterprise-scale experience.
Explicit 8-12 years plus required expert tech stack, architecture and AI leadership makes filters strict.
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Define and implement enterprise-wide data engineering standards and AI innovation frameworks aligned with corporate goals.
Make critical technology decisions impacting enterprise-scale data architecture and lead end-to-end product development for strategic data platforms.
Lead technology teams inclusively, serve as SME across multiple disciplines, and facilitate high-level cross-functional collaboration and digital transformation initiatives.
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 skills in Python, full-stack development, Azure services, advanced data modeling, AI frameworks, and cross-platform cloud technologies.
On-site location requirement: Bengaluru, Karnataka, India.
Experienced in strategic technology leadership with a proven record of enterprise-wide data engineering and digital transformation implementation.
Strong capability in aligning data technology strategies with business objectives and market trends, especially in AI, automation, and cloud-native solutions.
Skilled at leading senior technology teams and influencing senior leadership on data strategy and technology investments across a complex organization.