Data Model Architect
About The Position
The Data Model Architect assists with the design and implementation of company databases. As a data modeler architect, you will be working closely with platform architects, product owners and data analysts to implement data modeling solutions that streamline and support enterprise information management. To ensure success as a data model architect, you should have in-depth knowledge of data warehousing, as well as expert communication skills. Ultimately, a top-notch data model architect should be able to design models that reduce data redundancy, streamline data movements, and improve enterprise information management.
Requirements
- Five (5) years of hands-on experience with relational and dimensional data modeling
- Expert knowledge of metadata management and related tools
- Strong interpersonal skills
- Excellent communication and presentation skills
- Advanced troubleshooting skills
- Detail oriented, capable of envisioning edge-cases that are likely to happen in the real data sets
- Aware of software engineering / DevOps best practices (Source control & branching patterns, automated testing, automated deployments)
- Ideally capable of writing data transformations in code, but in some organizations may utilize a GUI tool
- Understanding of modern CI / CD practices and principles, with experience in Jenkins development preferred
- Strong understanding of DataOps principles
- Microsoft Office (Outlook, Word, Excel, PowerPoint, Project, Visio, etc.); Web proficiency.
- Ability to travel 10% of the time
- Ability to clear required background check
Nice To Haves
- CBIP Certification a plus
- Familiarity with Dbt, Snowflake, Alation, Power BI
Responsibilities
- Analyzing and translating business needs into supporting, conceptual data models
- Working with development teams to create physical data models and implementation road maps
- Developing best practices for data model development to ensure consistency
- Ensuring data models adhere to data classification and governance objectives
- Reviewing data models in data systems for variances, efficiency, and interoperability
- Evangelizing data models and aligning their use to support a variety of business needs
- Troubleshooting and optimizing data models
Benefits
- health benefits
- retirement contributions
- paid time off
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What This Job Offers
Job Type
Full-time
Career Level
Mid Level
Education Level
Associate degree
