Expert Data Product - Data Lake
About The Position
As the digital arm for the world's largest food and beverage company, Nestlé IT & Digital Americas harnesses the power of data, analytics, and innovative technology to deliver transformative solutions and business resiliency for Nestlé businesses and iconic brands from Purina® to Nescafé®. We’re innovators, strategic collaborators, value multipliers, and digital business leaders committed to delivering results that create meaningful experiences and drive value, enabling Nestlé to win in the marketplace. By joining, you become part of a 150-year legacy and a global team of 270,000+. We invest in our people—their growth, development, and sense of belonging. This shared unity and purpose is what motivates individuals to join, stay, and advance their careers within Nestlé. This position is not eligible for Visa Sponsorship. Position Summary Join Nestlé IT & Digital, supporting Nestlé USA, as a Data Product Expert accountable for managing and evolving our enterprise data lake as a product, enabling scalable, trusted, and AI-ready data services across the enterprise. This role balances technical depth with business fluency, partnering across functions, business teams, and the data organization within IT & Digital to translate priorities into reliable, secure, cost-efficient, and reusable data services. You'll ensure the data lake is aligned with enterprise data strategy and Nestlé standards, and liaison with the zone to ensure alignment with the global organization.
Requirements
- Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field
- 7+ years of experience in data platforms, product ownership, or data engineering, including delivering enterprise-scale data products
- 5+ years of hands-on experience with cloud data platforms, specifically the Microsoft Azure ecosystem (Azure Data Lake, Databricks, Synapse) or Snowflake
- 3+ years of experience as a Product Owner managing backlogs, roadmaps, and stakeholder alignment in an agile delivery model
- 3+ years of experience with data architecture, integrations, data warehousing, and full stack or back-end development
Nice To Haves
- Master's degree in Computer Science, Information Systems, Engineering, or a related discipline is preferred
- Working knowledge of Python for data processing, automation, or analytics is preferred
- Experience applying FinOps practices to optimize cost, usage, and performance in cloud data platforms is preferred
- Familiarity with AI/ML data pipelines and enabling data for advanced analytics is preferred
Responsibilities
- Own the end-to-end lifecycle of data lake products, including vision, roadmap, backlog prioritization, and value realization
- Translate business and analytics requirements into scalable data platform capabilities and reusable data assets
- Ensure seamless integration of structured and unstructured data across upstream and downstream systems
- Drive adoption and optimization of cloud-based data platforms, including the Microsoft Azure ecosystem (Azure Data Lake, Databricks, Synapse) and Snowflake
- Leverage APIs, storage optimization, and distributed compute to enable scalable and performant data pipelines
- Embed data governance, metadata management, and quality standards, and liaison with the zone and global teams for alignment
- Lead agile delivery, including sprint planning, backlog refinement, and continuous improvement through automation and monitoring
Benefits
- 401k with company match
- healthcare coverage
- a broad range of other benefits
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What This Job Offers
Job Type
Full-time
Career Level
Senior
