Remote Data Products Designer: Lakehouse & GenAI

International Business Machines Corporation; Charlotte (NC); Remote; USD 130,000 - 170,000; Full time

Job summary

IBM Consulting is seeking a Data Products Designer to shape business-aligned data products within a large data re-engineering program. You will define data product structure, models, contracts and metadata used by analytics, ML and GenAI use cases.

You will design data models for Databricks and AWS, re-engineer legacy structures, and define data quality and governance standards, collaborating with engineers and product owners.

Qualifications

• Advanced expertise in data modelling, data design or data architecture.
• Ability to travel 4 days per week.
• Experience with Databricks, AWS data services and data modelling tools.
• Experience designing scalable data solutions for real-time data.

Responsibilities

• Define data product structure, models, contracts, and metadata.
• Design logical and physical data models for Databricks and AWS.
• Re-engineer legacy data structures into reusable data products.
• Define source-to-target mappings for pipelines (Fivetran, SAP and non-SAP).
• Align SAP-native data products for consistent modeling.
• Maintain models and design artifacts in enterprise tools.
• Define data quality rules 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 tech, including API access.
• Provide technical leadership on data solution design and standards.
• Optimize performance, scalability and reliability of data products.
• Collaborate with delivery teams to meet business requirements.

Skills

Data modelling

Data design

Data architecture

SQL

Databricks

AWS data services

Data governance

API data access

Tools

Databricks

Unity Catalog

ER/Studio

Fivetran

Collibra

Kafka

ERwin

Job description

IBM Consulting is seeking a Data Products Designer to shape business-aligned data products within a large data re-engineering program. You will define data product structure, models, contracts and metadata used by analytics, ML and GenAI use cases.

You will design data models for Databricks and AWS, re-engineer legacy structures, and define data quality and governance standards, collaborating with engineers and product owners.