Data Modeler

Job Description:
•              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
•              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 data 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
Preferred:
•              Knowledge of Domain Drive Design methodology
•              Knowledge of NoSQL modelling
•              Some full stack experience
•              Knowledge of Graph QL APIs, Apollo , Apigee
•              Knowledge of Azure Cloud especially with Azure Synapse