Travel-Heavy Data Products Designer

International Business Machines Corporation

Paramus (NJ)

Remote

USD 120,000 - 150,000

Full time

4 days ago
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Job summary

International Business Machines Corporation (IBM) is seeking a Data Products Designer to shape business-aligned data products within a large data re-engineering program. You define data product structures, models, contracts, and metadata for downstream analytics, ML, and GenAI use cases.

You’ll collaborate with business and technical stakeholders to deliver scalable data models on Databricks and AWS, while re-engineering legacy structures into reusable components and ensuring data quality and

Qualifications

  • Advanced data modelling and architecture skills for enterprise environments.
  • Strong SQL with Databricks, AWS data services, and related tools.
  • Ability to design scalable data models and establish data contracts.

Responsibilities

  • Define data products: scope, ownership, consumers, SLAs, and contracts.
  • Design conceptual, dimensional, and lakehouse data models for data products.
  • Re-engineer legacy structures into reusable data products.
  • Define source-to-target mappings for pipelines from Fivetran, SAP and non-SAP sources.
  • Align SAP-native data products with non-SAP data modelling.
  • Maintain data models and design artifacts in enterprise tools.
  • Develop data quality rules, lineage, and governance with teams.
  • Produce design documentation and review with engineers and product owners.
  • Design and develop data solutions on Big Data and lakehouse tech; enable API access.

Skills

Data modelling
Data architecture
SQL & analytics
Stakeholder collaboration
Data governance

Education

Bachelor's degree in Computer Science / Information Systems / related field

Tools

Databricks
Erwin
ER Studio
AWS data services
Fivetran

Job description

International Business Machines Corporation (IBM) is seeking a Data Products Designer to shape business-aligned data products within a large data re-engineering program. You define data product structures, models, contracts, and metadata for downstream analytics, ML, and GenAI use cases.

You’ll collaborate with business and technical stakeholders to deliver scalable data models on Databricks and AWS, while re-engineering legacy structures into reusable components and ensuring data quality and

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