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Tier-1 bank, popular data engineering role, metro location, and broad skillset increase applicant competition.
Core data engineering skills transfer well, but enterprise banking compliance and HR domain increase specialization.
Requires 7+ years plus specific cloud, data platform, and GenAI expertise, making filters strict.
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Lead design, architecture, and delivery of scalable, secure data engineering and generative AI solutions within the HR technology domain.
Act as a principal technical advisor to senior leadership, influencing enterprise data and AI strategy and ensuring alignment with business goals and compliance.
Drive innovation by implementing modern data platforms, data modernization, and AI/GenAI enablement to improve HR analytics and decision-making.
7+ years of engineering experience (including data engineering).
Hands-on expertise in data engineering, including migration from legacy systems to cloud-native lakehouse architectures.
Experience with Azure Fabric and GCP data services, as well as programming skills in SQL, Python, and distributed data processing frameworks (Spark, Beam).
Work Experience Required: Minimum 7 years engineering experience with sustained hands-on architecture, design, and end-to-end solution development.
Senior technical leader comfortable operating at enterprise scale, interfacing with multiple stakeholder levels including senior executives.
Deep hands-on experience in cloud-native data engineering platforms and modern data architectures, specifically in HR or large data ecosystems.
Experienced in driving AI/GenAI strategy and operationalization, with a track record of balancing innovation with stability, governance, and long-term technical sustainability.