Data Products Designer - Hybrid Cloud & AI

International Business Machines Corporation; Minneapolis (MN); Remote; USD 120,000 - 180,000; Full time

Job summary

IBM Consulting is recruiting a Data Products Designer to help build data-driven solutions across a large re-engineering program. You will shape data product structures, contracts, and metadata that analytics, ML, and GenAI use cases will consume.

Join a global team delivering scalable, compliant data products on Databricks and AWS, with emphasis on data quality, governance, and collaboration with stakeholders across business and engineering domains.

Responsibilities

• Work with business and technical stakeholders to define data products: scope, ownership, consumers, SLAs, and data contracts.
• Design logical and physical data models for data products on Databricks and AWS.
• Re-engineer legacy data structures into well-modeled reusable data products.
• Define source-to-target mappings for pipelines via Fivetran and from SAP and non-SAP sources.
• Assess and align SAP-native data products for consistent modeling.
• Maintain models and design artifacts in 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 design of complex data solutions, guiding team on standards and approach.
• Optimize performance, scalability, and reliability of data products and the underlying data platform.
• Collaborate with delivery teams to ensure solutions meet business requirements and stakeholder expectations.

Job description

IBM Consulting is recruiting a Data Products Designer to help build data-driven solutions across a large re-engineering program. You will shape data product structures, contracts, and metadata that analytics, ML, and GenAI use cases will consume.

Join a global team delivering scalable, compliant data products on Databricks and AWS, with emphasis on data quality, governance, and collaboration with stakeholders across business and engineering domains.