Data Modeler
Data Modeler
Syntricate Technologies
Richmond, VA
See who Syntricate Technologies has hired for this role
Job Title: Data Modeler
Location: Richmond, VA (Hybrid. 3 day onsite)
Fulltime only
For non-locals there will be relocation assistance: 2k relocation assistance+ one side flight ticket with family+15 days hotel accommodation.
Collaborate with variety of internal teams (e.g., Finance, Risk, Asset Management, etc.) to drive strategic data management priorities through metadata.
Manage the collection and governance of business, technical and operational metadata.
Drive various other metadata management activities, including but not limited to, lineage discovery, metadata creation, metadata change management and reporting.
Develop logical metadata models (e.g., metadata asset model, semantic relationships) to represent business and technical metadata (e.g., reporting hierarchy, physical data elements, logical data elements, data quality controls)
Skills
Strong understanding of business processes within a large financial institution.
Familiarity with taxonomy, ontologies, and semantic modelling.
Conceptual and logical business data modelling experience across domains (i.e., customer, account, risk, etc.)
Deep understanding and experience with technical, operational and business metadata.
Ability to derive and communicate value (business case) from metadata management.
Demonstrated ability to quickly learn new software, specifically metadata management tooling.
Location: Richmond, VA (Hybrid. 3 day onsite)
Fulltime only
For non-locals there will be relocation assistance: 2k relocation assistance+ one side flight ticket with family+15 days hotel accommodation.
- In case, if you are not comfortable with this location, please share your preference with contact details for further requirements*
Collaborate with variety of internal teams (e.g., Finance, Risk, Asset Management, etc.) to drive strategic data management priorities through metadata.
Manage the collection and governance of business, technical and operational metadata.
Drive various other metadata management activities, including but not limited to, lineage discovery, metadata creation, metadata change management and reporting.
Develop logical metadata models (e.g., metadata asset model, semantic relationships) to represent business and technical metadata (e.g., reporting hierarchy, physical data elements, logical data elements, data quality controls)
Skills
Strong understanding of business processes within a large financial institution.
Familiarity with taxonomy, ontologies, and semantic modelling.
Conceptual and logical business data modelling experience across domains (i.e., customer, account, risk, etc.)
Deep understanding and experience with technical, operational and business metadata.
Ability to derive and communicate value (business case) from metadata management.
Demonstrated ability to quickly learn new software, specifically metadata management tooling.
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Seniority level
Entry level -
Employment type
Contract -
Job function
Information Technology -
Industries
Information Technology & Services
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