Sr. Data Modeler
4 weeks ago
- Experience designing dimensional/star schema and normalized data models from scratch.
- Experience using Erwin Data Modeler
- Understanding how to work within data modeling and metadata standards frameworks (i.e. naming standards, class word standards, writing clear, concise, unambiguous definitions)
- Strong communications skills, verbal and written.
- Have to be able to illicit information on data needs from business users who do not understand our role/goal.
- Must be able to speak to their design/modeling decisions (specifically to the DRB but also within the team)
- M ust be willing/able to communicate/escalate issues found while developing their data models.
- S2T mapping experience is a plus especially within marts/dimensional models as this is foundational to lineage.
- Flexibility in approach to achieving goals when the "right " solution is not achievable in the short term. This is one we probably won't see on a resume but need to get to in an interview. I have run into many.
- Takes initiative to identify and meet with the IT and business resources necessary to refine requirements and understand data and processes completely.
- Self-starter driven to move designs forward without the benefit of extensive detailed documentation.
- Comfortable collaborating positively and proactively with a diverse team of modelers ranging in experience from relative novice to exceedingly experienced.
- Design, model and implement data solutions meet the business needs and risk tolerance criteria of the LOB.
- Ensure changes to the data environment generated by the Lob are compatible and compliant to the firm's architectural standards.
- Enforce data architectural standards via the Data Model Review Forum and participation in all LOB projects that create new data store or modify existing data stores.
- Logical + Physical Data Modeling experience is a must with a minimum of 5 years 'experience, 7+ preferred.
- Erwin Data Modeler experience is a must.
- Hands on experience with Netezza, NoSQL Database and Snowflake is preferred.
- Experience with robust, operationally sound production environments is preferred.
- Experience with large/very large databases is must.
- Experience with large scale development projects, Internet development experience, large integration projects is a must.
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