Hiring: Expert Data Product - Data Lake Company: Nestlé IT & Digital Americas Location: Arlington, VA Job Posted Time: 2026-09-16 12:57:08 Employment Type: Full-time Target Skills & Keywords: Data Lake, Data Product Management, Azure Data Lake, Databricks, Synapse, Snowflake, Cloud Data Platforms, Data Governance, Agile Delivery, Product Ownership, Data Architecture, Data Warehousing, Python, FinOps, AI/ML Data Pipelines, APIs, Metadata Management, Distributed Compute Experience: - 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 Required Skills: - End-to-end lifecycle ownership of data lake products, including vision, roadmap, backlog prioritization, and value realization - Translating business and analytics requirements into scalable data platform capabilities and reusable data assets - Seamless integration of structured and unstructured data across upstream and downstream systems - Driving adoption and optimization of cloud-based data platforms, including Microsoft Azure ecosystem (Azure Data Lake, Databricks, Synapse) and Snowflake - Leveraging APIs, storage optimization, and distributed compute to enable scalable and performant data pipelines - Embedding data governance, metadata management, and quality standards, with alignment across zone and global teams - Leading agile delivery, including sprint planning, backlog refinement, and continuous improvement through automation and monitoring Qualifications: - Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related field - 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 - This position is not eligible for Visa Sponsorship Compensation: - Approximate pay range: $140,000 to $200,000 per year - Final compensation may vary based on factors including but not limited to knowledge, skills and abilities as well as geographic location - Nestlé offers performance-based incentives and a competitive total rewards package, which includes a 401k with company match, healthcare coverage and a broad range of other benefits Interested candidates, please apply directly through the job posting on company's career page or try via AI auto apply on this platform. Don’t miss this opportunity to join a forward-thinking team!