Bright Vision Technologies is seeking a Data Modeler to design, build, validate, and support data solutions that make trusted information available for enterprise operations, analytics, and decision-making.
Compensation
$115,000–$165,000 Annually
Responsibilities
Develop and maintain data pipelines, transformations, reports, models, or platform components as required by the role.
Translate source-to-target and business requirements into validated technical data solutions.
Implement data quality checks, access controls, monitoring, and failure-recovery procedures.
Tune SQL, processing jobs, models, dashboards, or platform resources for performance and cost.
Document data definitions, lineage, operational procedures, and technical decisions.
We are searching for a Data Modeler / Data Architect to support the MedTech Supply Chain data ecosystem, specifically defining and governing scalable data models and domain data architectures that support trusted data products, analytics, reporting, and AI capabilities.
Locations (2)
São Paulo, São Paulo, Brazil
Colombia
Responsibilities
Define and maintain target-state domain data architectures and conceptual, logical, physical, dimensional, and semantic data models for MedTech Supply Chain data products, analytics, reporting, and AI solutions.
Lead discovery and design sessions with business and technology stakeholders to translate supply chain processes and information needs into scalable, reusable data structures.
Model business entities, relationships, hierarchies, reference data, history, and key measures across planning, sourcing and procurement, manufacturing, quality, inventory, logistics, distribution, customer service, and order fulfillment domains.
Establish and govern data-modeling standards, naming conventions, reusable patterns, and design principles across source, ingestion, transformation, semantic, and consumption layers.
Lead or facilitate data architecture and model reviews; recommend design decisions, document trade-offs and architecture decisions, and escalate material risks or exceptions to the Senior Manager, Architecture.
Requirements
Bachelor’s degree in computer science, information systems, engineering, data management, or a related discipline