Techgene Solutions
Business Data Modeler
β - Featured Role | Apply direct with Data Freelance Hub
This role is for a Business Data Modeler with a contract length of "unknown" and a pay rate of "unknown." It requires 8+ years in Data Architecture, strong skills in AWS, Snowflake, Kafka, and experience in regulated industries. Location is hybrid in Westwood, MA or Johnston, RI.
π - Country
United States
π± - Currency
$ USD
-
π° - Day rate
Unknown
-
ποΈ - Date
June 24, 2026
π - Duration
Unknown
-
ποΈ - Location
Hybrid
-
π - Contract
Unknown
-
π - Security
Unknown
-
π - Location detailed
Westwood, MA
-
π§ - Skills detailed
#Data Pipeline #Data Framework #Data Warehouse #Kafka (Apache Kafka) #Data Engineering #S3 (Amazon Simple Storage Service) #Programming #EDW (Enterprise Data Warehouse) #Scala #Apache Kafka #Python #Data Lake #Redshift #Data Architecture #Batch #Data Integration #AI (Artificial Intelligence) #ML (Machine Learning) #Data Catalog #Data Quality #Data Management #Lambda (AWS Lambda) #SQL (Structured Query Language) #AWS S3 (Amazon Simple Storage Service) #Metadata #Security #Cloud #Data Modeling #Data Lineage #Snowflake #AWS (Amazon Web Services) #Data Governance
Role description
Title: Business Data Modeler
Location: Westwood, MA or Johnston, RI (Hybrid/Onsite)
Job Summary
We are seeking an experienced Business Data Architect / Data Modeler to lead enterprise-wide data architecture and modeling initiatives. The ideal candidate will have strong expertise in designing canonical data models, implementing semantic data mesh architectures, and enabling real-time data streaming solutions. This role will be responsible for establishing scalable data frameworks that support analytics, AI/ML initiatives, data governance, and enterprise integration across cloud platforms.
Key Responsibilities
β’ Design and maintain enterprise canonical data models to ensure consistency across business domains and applications.
β’ Develop and implement semantic data mesh architectures to support decentralized data ownership and governance.
β’ Define enterprise data standards, modeling frameworks, and best practices.
β’ Architect and optimize real-time data streaming solutions using Kafka and event-driven architectures.
β’ Design scalable cloud-based data platforms leveraging AWS services and Snowflake.
β’ Collaborate with business stakeholders, data engineers, analytics teams, and application architects to translate business requirements into data solutions.
β’ Establish data governance, metadata management, lineage, and data quality frameworks.
β’ Support AI/ML initiatives by creating reusable, trusted, and governed data assets.
β’ Design and optimize data warehouses, data lakes, and lakehouse architectures.
β’ Develop data integration patterns for batch and real-time processing.
β’ Conduct architecture reviews and provide recommendations for performance, scalability, and security improvements.
β’ Mentor junior data architects, modelers, and engineering teams on enterprise data practices.
Required Skills & Qualifications
β’ 8+ years of experience in Data Architecture, Data Modeling, or Enterprise Data Management.
β’ Strong expertise in Canonical Data Modeling and enterprise data architecture principles.
β’ Experience implementing Semantic Data Mesh frameworks and domain-driven data architectures.
β’ Hands-on experience with Apache Kafka and real-time/event-driven data pipelines.
β’ Strong proficiency with AWS services:
β’ S3
β’ Redshift
β’ Glue
β’ EMR
β’ Lambda
β’ Extensive experience with Snowflake architecture, modeling, and optimization.
β’ Strong programming skills in Python and advanced SQL.
β’ Experience designing enterprise data warehouses, data lakes, and modern data platforms.
β’ Knowledge of data governance, metadata management, data lineage, and data quality practices.
β’ Familiarity with AI/ML data preparation and feature engineering concepts.
Preferred Qualifications
β’ Experience with data cataloging and governance tools.
β’ Knowledge of modern data architecture patterns including lakehouse and mesh architectures.
β’ Experience working in regulated industries such as utilities, healthcare, banking, or insurance.
β’ AWS, Snowflake, or Data Architecture certifications are a plus.
β’ Experience supporting enterprise analytics and AI/ML platforms.
Key Technologies
Data Modeling: Canonical Data Modeling, Semantic Data Mesh
Streaming: Kafka
Cloud: AWS (S3, Redshift, Glue, EMR, Lambda)
Data Platform: Snowflake
Programming: Python, SQL
Architecture: Data Lake, Data Warehouse, Lakehouse, Enterprise Data Governance
Analytics & AI: AI/ML Enablement, Feature Stores, Data Products
Title: Business Data Modeler
Location: Westwood, MA or Johnston, RI (Hybrid/Onsite)
Job Summary
We are seeking an experienced Business Data Architect / Data Modeler to lead enterprise-wide data architecture and modeling initiatives. The ideal candidate will have strong expertise in designing canonical data models, implementing semantic data mesh architectures, and enabling real-time data streaming solutions. This role will be responsible for establishing scalable data frameworks that support analytics, AI/ML initiatives, data governance, and enterprise integration across cloud platforms.
Key Responsibilities
β’ Design and maintain enterprise canonical data models to ensure consistency across business domains and applications.
β’ Develop and implement semantic data mesh architectures to support decentralized data ownership and governance.
β’ Define enterprise data standards, modeling frameworks, and best practices.
β’ Architect and optimize real-time data streaming solutions using Kafka and event-driven architectures.
β’ Design scalable cloud-based data platforms leveraging AWS services and Snowflake.
β’ Collaborate with business stakeholders, data engineers, analytics teams, and application architects to translate business requirements into data solutions.
β’ Establish data governance, metadata management, lineage, and data quality frameworks.
β’ Support AI/ML initiatives by creating reusable, trusted, and governed data assets.
β’ Design and optimize data warehouses, data lakes, and lakehouse architectures.
β’ Develop data integration patterns for batch and real-time processing.
β’ Conduct architecture reviews and provide recommendations for performance, scalability, and security improvements.
β’ Mentor junior data architects, modelers, and engineering teams on enterprise data practices.
Required Skills & Qualifications
β’ 8+ years of experience in Data Architecture, Data Modeling, or Enterprise Data Management.
β’ Strong expertise in Canonical Data Modeling and enterprise data architecture principles.
β’ Experience implementing Semantic Data Mesh frameworks and domain-driven data architectures.
β’ Hands-on experience with Apache Kafka and real-time/event-driven data pipelines.
β’ Strong proficiency with AWS services:
β’ S3
β’ Redshift
β’ Glue
β’ EMR
β’ Lambda
β’ Extensive experience with Snowflake architecture, modeling, and optimization.
β’ Strong programming skills in Python and advanced SQL.
β’ Experience designing enterprise data warehouses, data lakes, and modern data platforms.
β’ Knowledge of data governance, metadata management, data lineage, and data quality practices.
β’ Familiarity with AI/ML data preparation and feature engineering concepts.
Preferred Qualifications
β’ Experience with data cataloging and governance tools.
β’ Knowledge of modern data architecture patterns including lakehouse and mesh architectures.
β’ Experience working in regulated industries such as utilities, healthcare, banking, or insurance.
β’ AWS, Snowflake, or Data Architecture certifications are a plus.
β’ Experience supporting enterprise analytics and AI/ML platforms.
Key Technologies
Data Modeling: Canonical Data Modeling, Semantic Data Mesh
Streaming: Kafka
Cloud: AWS (S3, Redshift, Glue, EMR, Lambda)
Data Platform: Snowflake
Programming: Python, SQL
Architecture: Data Lake, Data Warehouse, Lakehouse, Enterprise Data Governance
Analytics & AI: AI/ML Enablement, Feature Stores, Data Products
