Senior Data Modeler
About the role
- Develop logical and physical data models
- Map logical entities to the enterprise Canonical Data Model
- Baseline DDLsDevelop, test, and implement scripts, programs, and related processes to collect, manage, and publish DEV and PROD metadata from data models
- Develop DDL implementation/back-out plans
- Promote data models into production metadata environments
- Support DDL PROD implementation
- Support post-production validation of DDLProvide Level of Efforts (LOEs), activity status, identify dependencies impacting deliverables, identify risks and mitigation plans, identify issues and impacts
- Bachelor Degree from an accredited university with coursework in Business, Information Technology, or Engineering.8-10 years of data modeling and metadata management experience.
- Experience with both relational and dimensional data modeling
- Experience with data management standards and data model practices
- Proven ability to quickly earn the trust of key stakeholders
- Thrives in an environment with changing priorities
- Sound business and technical acumen
- Focused and versatile team player that is comfortable under pressure
- Excellent problem-solving and critical-thinking skills
- Able to navigate through a large corporate environment and ensure appropriate pro cesses are met
Before you apply
Applying takes about a minute. These four things decide how fast it moves after that.
Your profile is current
It's what we read first. Occupations, seniority and locations matter more than a long history.
Two examples you can talk through
Not a portfolio — just two pieces of work where you can explain the decisions and what you'd change.
A number in mind
What you're on now and what would make you move. We negotiate better when we know both.
Your notice period
Employers plan around it, and it's the question that stalls offers most often.
Once you apply, someone reads it and calls you before anything reaches the employer — usually within two working days.
