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• No of position :- ( 1 )

• Post :- 3rd Oct 2023

Following are some of the responsibilities an enterprise data modeler is expected to assume. At high level, it's not the traditional relational data modeler person, it's someone with pre strength in API and ontology area (e.g. ontologist).

 

• Understand the enterprise data needs of the company or client, encompassing API schema design, business event design and choreography, as well as data platform.

• Create and maintain taxonomies and relevant metadata for the taxonomy.

Ensure ontologies provide comprehensive domain coverage that are available for both human and machine ingestion and inference.

Evangelize ontology and semantic technologies within organization.

• Work closely with product owners and system architects to understand the business needs for information content, both operational and analytical.

• Oversight / execution of conceptual and logical modeling in support of system design, API design and event design.

• Articulate in narrating conceptual models and evincing conceptual language from the business.

• Coordinate and consult design teams on API and event schema design, as well as aspects of event generation and choreography.

• Consult design teams on planning schema evolution in a coordinated manner.

• Help drive the consensus across regions (e.g. Europe and North America) on harmonizing regional models.

• Should learn and fully understand JSON schema and YAML semantics.

• Should learn and fully understand data sync and data movement patterns in API and business event eco-system.

• Work with regional teams to reason out and enforce enterprise logical models.

• Work across existing enterprise models and determine how the new additions will impact vs reuse of existing elements.

• Learn to author with YAML based logical models as software products in a devops CI/CD pipeline (Maven, Gitlab, Jenkins, Artifactory).

• Write SQL to profile the data in data warehouse, to profile the data as needed.

• Understand the context of the company's migration from batch file integration to real-time integration via APIs and events.

• Understand the context of the company's migration of data services needs from legacy to modern data platform.

 

Job Qualifications and Skill Sets

Below are the qualifications expected of a data modeler:

• Understanding of REST API and/or GraphQL API interface design.Or Have worked as Ontologist in previous role.

• Understanding of pub.sub (eg Kafka) and message design

• Expert in building data models - Conceptual & Logical data models (canonical models) for holistic enterprise data design.

• Should be self-driven, can work independently with little training on existing platform.

• Bachelor's degree in computer science, data science, information technology, or data modelling. A master's level of theory is a plus.

• Reliable in consulting on physical data models in JSON, YAML, and SQL.

• Attention to detail and very particular in taxonomy or naming of data model entities/attributes.

• Experience in building enterprise data models with large enterprise event driven eco-system and design optimal/best practices dat models.

• Familiarity with data modeling software such as SAP PowerDesigner, Microsoft Visio, or erwin Data Modeler

• Excellent presentation, communication, and organizational skills

• Strong attention to detail

• Ability to work in a fast-paced environment

• Ability to work both independently and as part of a team

• Ability to intelligently profile and tune data using SQL.