Sr. Data Modeler || Dallas, TX (Onsite) Job at Kanak Elite Services Inc, Dallas, TX

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  • Kanak Elite Services Inc
  • Dallas, TX

Job Description

Job Description

Position : Sr. Data Modeler

Location : Dallas, TX (Onsite)

Duration : 8 Months with possible extension

MOI : Video

Day to Day Job Duties:

  • Design high-quality domain (canonical) data models, consumption-layer dimensional models, ensuring compliance with client's 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's 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's 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

Thanks & Regards

Gunjan Sharma

Sr. Technical Recruiter

Email: Gunjan@kanakits.com

Kanak IT is an equal opportunity employer. We consider all applicants for employment without regard to citizenship, immigration status, race, gender, disability, or any other protected category.

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