Data Modeler
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Modeler with a contract length of "X months," offering a pay rate of "$X per hour." Required skills include expertise in data modeling tools, experience with MPP databases, and knowledge of SAP data models.
🌎 - Country
United States
💱 - Currency
$ USD
-
💰 - Day rate
-
🗓️ - Date discovered
September 4, 2025
🕒 - Project duration
Unknown
-
🏝️ - Location type
Unknown
-
📄 - Contract type
Unknown
-
🔒 - Security clearance
Unknown
-
📍 - Location detailed
Plano, TX
-
🧠 - Skills detailed
#BI (Business Intelligence) #SAP #Version Control #Delta Lake #SQL (Structured Query Language) #Data Lineage #GitHub #Redshift #Requirements Gathering #Data Management #DataOps #Data Bricks #Data Warehouse #Databricks #DevOps #Agile #ERWin #Spark (Apache Spark) #Teradata #Data Analysis #Security #Metadata #Data Design #Snowflake #Data Lake #Deployment #Data Security #Data Mapping #Cloud #Documentation #"ETL (Extract #Transform #Load)" #Synapse #Physical Data Model
Role description
Job Duties:
· Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies.
· Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned.
· Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
· Drive collaborative reviews of data model design, code, data, security features to drive data product development.
· Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model.
· Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping.
· Partner with the data stewards team for data discovery and action by business customers and stakeholders.
· Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting.
· Assist with data planning, sourcing, collection, profiling, and transformation.
· Support data lineage and mapping of source system data to canonical data stores.
· Create Source to Target Mappings (STTM) for ETL and BI developers.
Skills Required:
· Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains )
· Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake.
· Experience with version control systems like GitHub and deployment & CI tools.
· Experience of metadata management, data lineage, and data glossaries is a plus.
· Working knowledge of agile development, including DevOps and DataOps concepts.
· Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail.
Job Duties:
· Independently complete conceptual, logical and physical data models for any supported platform, including SQL Data Warehouse, Spark, Data Bricks Delta Lakehouse or other Cloud data warehousing technologies.
· Governs data design/modelling – documentation of metadata (business definitions of entities and attributes) and constructions database objects, for baseline and investment funded projects, as assigned.
· Develop a deep understanding of the business domains like Customer, Sales, Finance, Supplier, and enterprise technology inventory to craft a solution roadmap that achieves business objectives, maximizes reuse.
· Drive collaborative reviews of data model design, code, data, security features to drive data product development.
· Show expertise for data at all levels: low-latency, relational, and unstructured data stores; analytical and data lakes; SAP Data Model.
· Develop reusable data models based on cloud-centric, code-first approaches to data management and data mapping.
· Partner with the data stewards team for data discovery and action by business customers and stakeholders.
· Provides and/or supports data analysis, requirements gathering, solution development, and design reviews for enhancements to, or new, applications/reporting.
· Assist with data planning, sourcing, collection, profiling, and transformation.
· Support data lineage and mapping of source system data to canonical data stores.
· Create Source to Target Mappings (STTM) for ETL and BI developers.
Skills Required:
· Expertise in data modelling tools (ER/Studio, Erwin, IDM/ARDM models, CPG / Manufacturing/Sales/Finance/Supplier/Customer domains )
· Experience with at least one MPP database technology such as Databricks Lakehouse, Redshift, Synapse, Teradata, or Snowflake.
· Experience with version control systems like GitHub and deployment & CI tools.
· Experience of metadata management, data lineage, and data glossaries is a plus.
· Working knowledge of agile development, including DevOps and DataOps concepts.
· Working knowledge of SAP data models, particularly in the context of HANA and S/4HANA, Retails Data like IRI, Nielsen Retail.
