10+ years of senior-level experience in data modeling and database design.
Proficient in developing conceptual, logical, and physical data models.
Hands-on expertise with IBM InfoSphere Data Architect (IDA).
Strong understanding of data warehouse architecture and database design principles.
Experience with Azure data environments and Databricks.
Ability to translate complex business requirements into practical data models.
Strong documentation and communication skills for cross-team collaboration.
Responsibilities
Design and optimize data models for enterprise data warehouse needs.
Utilize IBM InfoSphere Data Architect to maintain data models.
Translate business and analytical requirements into scalable designs.
Collaborate with data engineering teams on model implementation in Azure and Databricks.
Ensure models meet enterprise data standards and quality requirements.
Conduct impact analysis for model changes and identify dependencies.
Develop and maintain documentation and data-flow diagrams.
Benefits
Collaborative work environment with cross-functional teams.
Opportunities for professional development and training.
Access to cutting-edge data technologies and tools.
Flexible work arrangements to support work-life balance.
Full Job Description
Job Description How You Will Make An Impact
Design and optimize conceptual, logical, and physical data models supporting enterprise data warehouse needs.
Use IBM InfoSphere Data Architect (IDA) extensively to develop and maintain logical and physical models.
Translate business and analytical requirements into scalable database and data-model designs.
Partner with data engineering teams implementing models within Azure and Databricks environments.
Ensure models align with enterprise data standards, architecture principles, quality requirements, and broader data strategy.
Conduct impact analysis for model changes and identify downstream dependencies before implementation.
Develop and maintain data-model documentation, data-flow diagrams, and database design specifications.
Improve model performance, accessibility, consistency, and scalability across enterprise data platforms.
Requirements
Do You Bring Proven Success in Enterprise Data Modeling?
10+ years of relevant experience at the senior level, with substantial hands-on data modeling and database design experience.
Strong experience developing conceptual, logical, and physical data models.
Hands-on expertise with IBM IDA / InfoSphere Data Architect.
Strong understanding of data warehouse architecture and database design principles.
Experience working with Azure data environments.
Experience supporting data solutions involving Databricks.
Ability to translate complex business requirements into practical enterprise data models.
Strong understanding of data quality, consistency, integration, scalability, and performance considerations.
Experience performing impact analysis and evaluating downstream effects of data-model changes.
Strong documentation and stakeholder communication skills, with the ability to collaborate across architecture, engineering, analytics, and business teams.
