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Senior Data Modeler
Senior Data ModelerVDart Inc • Dallas, Iowa, USA
Senior Data Modeler

Senior Data Modeler

VDart Inc • Dallas, Iowa, USA
[job_card.variable_days_ago]
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  • [job_card.full_time]
[job_card.job_description]

Title : Senior Data Modeler

Location : Dallas TX (Onsite)

Type : Contract

Day to Day Job Duties :

  • Design high-quality domain (canonical) data models consumption-layer dimensional models ensuring compliance with Client data architecture and governance standards.
  • Collaborate with business and technical stakeholders to define document and govern how data flows across the organization supporting analytics reporting operational use cases and advanced data science initiatives.
  • Work under the guidance of client Core Data Architects to create data models for the different layers (Domain and Consumption) of our enterprise data platform hosted in Databricks on Azure.
  • Collaborate with Application Data SMEs to understand the complete structure and business definition of the source data.
  • Collaborate with business analysts and business analytics SMEs to understand the BUS Matrix and associated requirements definition for the data needs.
  • Create and maintain data model using ER Studio tool complete with DDL generation.
  • Define end to end data lineage (S2T) and document them on Confluence pages as per given Client standards.
  • Generate SQL query snippets for explaining data transformation logic.
  • Profile and analyze source data to ensure data quality and recommend data refinement and cleansing methods.
  • Perform necessary reviews and obtain sign offs prior to delivery to the DEV and QA teams.
  • Perform handoff walkthroughs of model and S2T to the DEV team and participate in design review sessions for any refinements as necessary.
  • Perform handoff walkthroughs of model and S2T to the QA team and participate in defect triage sessions as necessary.
  • Build SQL queries for end consumption business views in alignment with the business requirements.
  • Participate with business UAT teams to clarify data model questions and business view questions.
  • Provide any other necessary support through the engineering build QA and UAT phases.

Basic Qualifications :

  • 7-10 years in data architecture data modeling or enterprise analytics.
  • Strong experience with canonical / domain modeling dimensional modeling and semantic modeling.
  • Proficiency in documenting data lineage and metadata (e.g. Purview Collibra Alation or native Databricks capabilities).
  • Minimum 5 years experience working with Data Modeling tools (e.g. Erwin ER / Studio or similar)
  • At least 3 years of experience in life insurance annuities policy administration claims actuarial or related financial services data will be excellent.
  • Understanding of ACORD data standards product hierarchies distribution channels customer / party models and regulatory reporting will be an added advantage.
  • Any prior experience with the conceptual understanding of IBM IIW Teradata ILDM Oracle OIDF etc. will be helpful
  • Proficiency in defining SQL queries is a must
  • Experience working with Azure Databricks (Delta Lake Unity Catalog DBFS SQL endpoints) will be an added advantage
  • Familiarity with Data Mesh Kimball Inmon Data Vault and Lakehouse modeling patterns.
  • Excellent communication and ability to translate complex concepts for non-technical audiences.
  • Ability to lead architecture discussions and influence stakeholders.
  • Comfortable working in agile delivery environments.
  • Strong documentation habits and detail orientation.
  • Travel : None.
  • Degree : BA or BS degree with a STEM major is preferred. Relevant advanced degree is a plus.
  • Nice to Have :

  • Experience with data contracts API modeling or event-driven architecture will be helpful
  • Experience working with Alteryx and / or Tableau will be an added advantage
  • Experience with SSIS will be helpful
  • Knowledge of Python will be helpful
  • Key Skills

    Atl,CMMS,ABAP,Community Support,CRM,Fleet

    Employment Type : Full Time

    Experience : years

    Vacancy : 1

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