Design conceptual, logical, and physical data models; develop and maintain enterprise ontologies, semantic models, and knowledge graphs; define business entities, relationships, and data standards; translate business requirements into scalable data models; support data governance, metadata, lineage, and data quality.
Responsibilities
Design conceptual, logical, and physical data models
Develop and maintain enterprise ontologies, semantic models, and knowledge graphs
Define business entities, relationships, and data standards
Translate business requirements into scalable data models
Support data governance, metadata, lineage, and data quality
Tech Hub enables our company’s businesses to achieve their technology-driven goals. The work undertaken in Tech Hub covers a range of areas from leading and supporting the company through to the build or adoption of new technology, to protecting against risk, and delivering valuable data insights that transform our technology capabilities.
Responsibilities
Lead and execute advanced data analysis projects.
Lead and develop data models and dashboards.
Ensure data quality and integrity across all data sources.
Collaborate with business units and other platforms within the IT department to align data initiatives with business goals.
Design, implement, and support enterprise data warehouse, data lake, and Lakehouse solutions, including ELT pipelines, Medallion Architecture, data governance, and business intelligence.
Responsibilities
Design and maintain programmatic ELT pipelines using SQL, Python, and modern cloud data tools
Conduct query and cluster tuning for modern cloud data platforms
Develop code to migrate legacy databases into automated Lakehouse ingestion pipelines
Work with IT Architecture staff to design and implement a scalable, secure Medallion Data Architecture across cloud environments
Establish standards, schemas, and file formats including Iceberg and Parquet
Requirements
Bachelor's Degree in Data Analytics, Computer Science, Information Technology, Computer Engineering, or a closely related field
Nice to have: Define technical standards
Nice to have: Lead complex cross-functional initiatives
Nice to have: Familiarity with data modeling tools
Lead the strategic design and governance of enterprise data landscape for a utilities client, owning data architecture, standards, and governance across Oracle on‑premise platforms.
Compensation
W2 Hourly Pay rate range: ($85-100/hr Depending on experience)
Responsibilities
Define enterprise data architecture strategy and target-state models
Establish enterprise-wide data modeling standards and governance policies
Own and maintain the enterprise Erwin model repository
Partner with stakeholders to translate business strategy into long-term data architecture roadmap
Evaluate and architect for scalability, performance, and maintainability of large Oracle databases
Assists in implementing data architecture for a sub-domain, ensuring assigned data assets are properly organized, structured, and secured.
Responsibilities
Works with Product owners, Business stewards, Business Intelligence Engineers, Data Scientists and end users to understand data consumers’ needs and develop data products/ data solutions within assigned sub-domain
Explores Data Sources by working with Application owners to confirm datasets to be extracted
Designs Data models for Source data products and Master data products including schema design, table definitions, and column specifications
Designs and implements semantic models following established standards, supporting BI reporting, AI applications, and conversational analytics use cases
Documents Data Architecture artifacts for assigned data products
Requirements
Bachelor’s degree in computer science, data science, engineering, or related field
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.
Seeking an experienced Data Modeler with a healthcare background to support Revenue Cycle Analytics initiatives.
Compensation
Pay rate: $65/hr on C2C
Responsibilities
Partner with Revenue Cycle Analytics stakeholders to gather, clarify, and document business requirements, reporting needs, metrics, and data definitions.
Analyze source systems, datasets, and existing reporting structures to identify data relationships, dependencies, and gaps.
Develop and maintain conceptual, logical, and physical data models using ERwin or similar data modeling tools.
Define entities, attributes, primary and foreign keys, relationships, data granularity, and historical tracking requirements.
Design dimensional data models, including fact and dimension tables, to support reporting and analytical use cases.
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.
Data Architect (Azure Databricks, Specialty Insurance)
Design, implement and document data architecture and enterprise data models for a specialty insurer in the London Market using Azure Databricks.
Compensation
A competitive salary with a generous bonus, private healthcare, critical illness life assurance at 4 x your annual salary, income protection insurance, and a rewarding pension.
Responsibilities
Design lakehouse architecture on Azure Databricks using Delta Lake and the Medallion pattern
Design and apply dimensional models such as star and snowflake schemas
Create and maintain conceptual, logical and physical data models
Optimize platform performance and cost
Manage model lifecycle and recommend reuse
Requirements
Bachelor’s degree or equivalent experience
Nice to have: Databricks certification
Nice to have: Gold-layer semantic models for Power BI
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
Data ArchitectTEKsystems · Remote, US+1 more
Data Architect (Azure Databricks, Specialty Insurance)EXL · London, United Kingdom