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Protocol Intelligence
Data-driven signals on your job's competitivenessTier-1 brand, metro location, popular data role and broad cloud/GenAI requirements increase competition.
Technical data engineering skills are transferable, but HR domain and enterprise governance experience increase domain specificity.
Mandatory 7+ years and extensive cloud, data platform, and GenAI expertise indicate strict filtering.
Job Description
Structured overview of role & requirementsAbout This Role
Design, architect, and lead Data Engineering and Generative AI initiatives within HR Information Technology to drive operational excellence and enhance employee/customer experience.
Oversee architecture and delivery of scalable, secure data engineering solutions for HR data ecosystem, enabling advanced analytics and next-gen HR capabilities.
Act as strategic advisor to senior leadership influencing architecture, solution design, and implementation aligned with business objectives and enterprise standards.
Minimum Requirements
7+ years of engineering experience, including data engineering, architecture, and system design.
Hands-on experience with cloud-native data platforms (Azure Fabric, GCP) and modern data engineering tools/frameworks (SQL, Python, Spark, Beam).
Deep expertise in data platform migration from legacy to cloud-native/lakehouse architectures.
Work Experience Required: Minimum 7 years engineering experience
Ideal Candidate Profile
Experienced leader capable of strategic technical stewardship and hands-on engineering leadership in large-scale enterprise environments.
Strong background in cloud-native data engineering, AI/ML, GenAI technologies coupled with data governance and operationalization skills.
Proven ability to influence senior leadership and cross-functional stakeholders to align technology with business strategy and drive innovation.