Principal Engineer -Data Engineering
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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, popular mid-level data role, metro location and broad cloud/GenAI requirements increase applicant competition.
Core data engineering skills transferable, but enterprise HR, governance, and banking context raise sensitivity moderately.
Many mandatory cloud, data engineering, governance, and GenAI skills plus 7+ years experience enforce strict filters.
Job Description
Structured overview of role & requirementsAbout This Role
Lead design, architecture, and delivery of scalable, secure data engineering solutions for HR data ecosystem, enabling advanced analytics and AI-driven insights.
Provide hands-on technical leadership and strategic advisory to senior leadership shaping enterprise HR data and AI strategy.
Manage end-to-end data engineering initiatives including migration to modern cloud-native data platforms and AI/GenAI enablement.
Minimum Requirements
Minimum 7+ years of engineering experience.
Strong expertise in data engineering, including cloud-native data platforms and data migration (Azure Fabric, GCP, Lakehouse).
Proficient in SQL, Python, distributed data processing frameworks (Spark, Beam), and modern cloud architectures.
Work Experience Required: At least 7 years of progressive engineering experience with hands-on architecture and system design.
Ideal Candidate Profile
Experienced in leading large scale enterprise data modernization projects with a focus on cloud-native and AI/GenAI solutions.
Capable of hands-on technical leadership combined with strategic influence across multiple business units and senior leadership.
Strong background in building metadata-driven, scalable, secure data engineering frameworks and driving enterprise data strategy in HR or similar domain.