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Job Description
Structured overview of role & requirementsAbout This Role
Develop and maintain enterprise data products including data pipelines and curated datasets to support reporting, analytics, automation, and GenAI use cases across multiple business domains.
Apply Data-as-a-Product principles to create reusable, discoverable, governed data assets with metadata, lineage, and quality controls.
Collaborate with Product Managers, Data Engineers, Data Scientists, and Solution Engineers to deliver AI-ready data products optimized for machine learning and analytics.
Minimum Requirements
Experience developing and supporting data integration, ETL/ELT processes, and data pipelines using modern cloud-based data platforms.
Working knowledge of data modeling, SQL, data quality, metadata management, and data governance for enterprise-scale data products.
Bachelor's degree in Computer Science, IT, Engineering, Data Analytics, or equivalent practical experience.
Work Experience Required: Not explicitly mentioned in the JD.
Ideal Candidate Profile
Experienced in Data-as-a-Product operating model including data catalogs, lineage, and certified data products.
Familiarity with AI/ML or GenAI initiatives and preparing AI-ready datasets and semantic models.
Ability to translate business requirements into scalable, maintainable, and performant technical solutions in Agile, cross-functional teams.