Data Products Designer

International Business Machines Corporation; Boston (MA); Remote; USD 120,000 - 170,000; Full time

Job summary

International Business Machines Corporation is seeking a Data Products Designer to shape data products for a broad re-engineering program. You will collaborate with business and technical stakeholders to define products, ownership, SLAs and contracts, and shape both logical and physical models on Databricks and AWS.

You will re-engineer legacy structures into reusable data products, define mappings from pipelines, ensure SAP-normalized data, and maintain design artifacts.

Responsibilities

• 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.

Job description

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.

Responsibilities

• 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