Data Products Designer

Data Products Designer to design and shape business-aligned data products as part of a large data re-engineering program. You will define data product structure, models, contracts and metadata that downstream analytics, ML and GenAI use cases will consume.

• Work with business and technical stakeholders to define data products: scope, ownership, consumers, SLAs, and data contracts.
• Design logical and physical data models (conceptual, dimensional, and lakehouse/medallion layers) for data products on Databricks and AWS.
• Re-engineer legacy data structures and transformation logic into well-modeled, reusable data products rather than replicating them as-is.
• Define source-to-target mappings for pipelines ingested via Fivetran and from SAP and non-SAP sources.
• Assess and align with SAP-native data products so that SAP and non-SAP data are modeled consistently.
• Maintain models and design artifacts in the enterprise data modeling tools
• Define data quality rules, business definitions, and lineage expectations with data engineers and governance teams.
• Produce design documentation and review designs with Data Engineers, Architects, and Product Owners.
• Design and develop data solutions on Big Data and lakehouse technologies, including API-based data access, writing and debugging complex code where needed.
• Provide technical leadership on the design of complex, high-quality and efficient data solutions, guiding team members on standards and approach.
• Optimize the performance, scalability, and reliability of data products and the underlying data platform.
• Collaborate with delivery teams to deliver solutions that meet business requirements and stakeholder expectations.

This job can be performed from anywhere in the US