Data Warehouse Engineer
AGs, Duluth, GA, United States
Job Description
Job Overview
AGS is seeking a Data Warehouse Engineer to support Business Intelligence in leading the migration, maintenance and continued enhancement of our on-premise, multi-system reporting environment into Microsoft Fabric. This role will architect, implement, and manage our unified cloud data platform-enabling advanced analytics, AI, self-service reporting, and modern data governance. The ideal candidate has deep experience in data engineering and Microsoft's cloud analytics ecosystem.
Responsibilities
Migration & Architecture
Assess current data sources, ETLs, and reporting frameworks.
Lead the end-to-end migration of BI, reporting, and ETL processes into Microsoft Fabric (Lakehouse, Warehouse, Pipelines).
Modernize or replace legacy SSIS/SSRS/SSAS processes with Fabric-native solutions.
Design and implement a centralized, scalable, and secure Fabric data architecture for both batch and streaming data.
Data Engineering
Develop and maintain ingestion, transformation, and orchestration pipelines.
Build and optimize Delta Lakehouse tables, semantic models, and datasets for reporting and AI workloads.
Ensure data quality, lineage, and compliance with governance standards.
Integrate data from Business Central, Dynamics Field Service, Salesforce, custom SQL sources, and AGSi streaming data.
Platform Management
Manage Fabric capacities, workspaces, permissions, and cost optimization.
Monitor platform performance, reliability, and data refresh SLAs.
Apply best practices for Fabric security, data governance, and CI/CD automation.
Cross-Functional Collaboration
Partner with BI, Data Science, and business teams to enable machine learning and real-time analytics.
Support the development of a scalable self-service data and reporting environment.
Skills/Requirements
5+ years of experience in data engineering or analytics engineering.
Hands-on experience with Microsoft Fabric, Datawarehouse, Data Lake, Spark, or similar cloud data platforms.
Strong SQL skills and proficiency with Python or PySpark.
Experience migrating from on-prem SQL/SSIS/SSAS/SSRS to cloud-based architectures.
Solid understanding of Delta Lake, medallion architecture, semantic modeling, and data governance.
Experience with Power BI dataset modeling and performance tuning.
Familiarity with streaming technologies (Event Hub, Kafka, Fabric Real-Time Analytics).
Exposure to AI integration, semantic models for AI, or Microsoft Copilot.
Experience with Dynamics 365, Business Central, Salesforce, or similar systems is a plus.
Strong understanding of cloud security, compliance, and best practices.
Any Microsoft certification in a related data, analytics, or MS Fabric field is a plus.
Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and ability to work with both technical and non-technical teams.
Proactive ownership mindset and commitment to continuous improvement.
Note: All offers are contingent upon successful completion of a background check
*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.
AGS is an equal opportunity employer.
Job Snapshot
Location:
Duluth, Georgia
Job Type:
R&D/Game Development
Date Posted:
04/14/2026
About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.
Job Snapshot
Location:
Duluth, Georgia
Job Type:
R&D/Game Development
Date Posted:
04/14/2026
Job Description
Job Overview
AGS is seeking a Data Warehouse Engineer to support Business Intelligence in leading the migration, maintenance and continued enhancement of our on-premise, multi-system reporting environment into Microsoft Fabric. This role will architect, implement, and manage our unified cloud data platform-enabling advanced analytics, AI, self-service reporting, and modern data governance. The ideal candidate has deep experience in data engineering and Microsoft's cloud analytics ecosystem.
Responsibilities
Migration & Architecture
Assess current data sources, ETLs, and reporting frameworks.
Lead the end-to-end migration of BI, reporting, and ETL processes into Microsoft Fabric (Lakehouse, Warehouse, Pipelines).
Modernize or replace legacy SSIS/SSRS/SSAS processes with Fabric-native solutions.
Design and implement a centralized, scalable, and secure Fabric data architecture for both batch and streaming data.
Data Engineering
Develop and maintain ingestion, transformation, and orchestration pipelines.
Build and optimize Delta Lakehouse tables, semantic models, and datasets for reporting and AI workloads.
Ensure data quality, lineage, and compliance with governance standards.
Integrate data from Business Central, Dynamics Field Service, Salesforce, custom SQL sources, and AGSi streaming data.
Platform Management
Manage Fabric capacities, workspaces, permissions, and cost optimization.
Monitor platform performance, reliability, and data refresh SLAs.
Apply best practices for Fabric security, data governance, and CI/CD automation.
Cross-Functional Collaboration
Partner with BI, Data Science, and business teams to enable machine learning and real-time analytics.
Support the development of a scalable self-service data and reporting environment.
Skills/Requirements
5+ years of experience in data engineering or analytics engineering.
Hands-on experience with Microsoft Fabric, Datawarehouse, Data Lake, Spark, or similar cloud data platforms.
Strong SQL skills and proficiency with Python or PySpark.
Experience migrating from on-prem SQL/SSIS/SSAS/SSRS to cloud-based architectures.
Solid understanding of Delta Lake, medallion architecture, semantic modeling, and data governance.
Experience with Power BI dataset modeling and performance tuning.
Familiarity with streaming technologies (Event Hub, Kafka, Fabric Real-Time Analytics).
Exposure to AI integration, semantic models for AI, or Microsoft Copilot.
Experience with Dynamics 365, Business Central, Salesforce, or similar systems is a plus.
Strong understanding of cloud security, compliance, and best practices.
Any Microsoft certification in a related data, analytics, or MS Fabric field is a plus.
Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and ability to work with both technical and non-technical teams.
Proactive ownership mindset and commitment to continuous improvement.
Note: All offers are contingent upon successful completion of a background check
*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.
AGS is an equal opportunity employer.
About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.
Job Overview
AGS is seeking a Data Warehouse Engineer to support Business Intelligence in leading the migration, maintenance and continued enhancement of our on-premise, multi-system reporting environment into Microsoft Fabric. This role will architect, implement, and manage our unified cloud data platform-enabling advanced analytics, AI, self-service reporting, and modern data governance. The ideal candidate has deep experience in data engineering and Microsoft's cloud analytics ecosystem.
Responsibilities
Migration & Architecture
Assess current data sources, ETLs, and reporting frameworks.
Lead the end-to-end migration of BI, reporting, and ETL processes into Microsoft Fabric (Lakehouse, Warehouse, Pipelines).
Modernize or replace legacy SSIS/SSRS/SSAS processes with Fabric-native solutions.
Design and implement a centralized, scalable, and secure Fabric data architecture for both batch and streaming data.
Data Engineering
Develop and maintain ingestion, transformation, and orchestration pipelines.
Build and optimize Delta Lakehouse tables, semantic models, and datasets for reporting and AI workloads.
Ensure data quality, lineage, and compliance with governance standards.
Integrate data from Business Central, Dynamics Field Service, Salesforce, custom SQL sources, and AGSi streaming data.
Platform Management
Manage Fabric capacities, workspaces, permissions, and cost optimization.
Monitor platform performance, reliability, and data refresh SLAs.
Apply best practices for Fabric security, data governance, and CI/CD automation.
Cross-Functional Collaboration
Partner with BI, Data Science, and business teams to enable machine learning and real-time analytics.
Support the development of a scalable self-service data and reporting environment.
Skills/Requirements
5+ years of experience in data engineering or analytics engineering.
Hands-on experience with Microsoft Fabric, Datawarehouse, Data Lake, Spark, or similar cloud data platforms.
Strong SQL skills and proficiency with Python or PySpark.
Experience migrating from on-prem SQL/SSIS/SSAS/SSRS to cloud-based architectures.
Solid understanding of Delta Lake, medallion architecture, semantic modeling, and data governance.
Experience with Power BI dataset modeling and performance tuning.
Familiarity with streaming technologies (Event Hub, Kafka, Fabric Real-Time Analytics).
Exposure to AI integration, semantic models for AI, or Microsoft Copilot.
Experience with Dynamics 365, Business Central, Salesforce, or similar systems is a plus.
Strong understanding of cloud security, compliance, and best practices.
Any Microsoft certification in a related data, analytics, or MS Fabric field is a plus.
Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and ability to work with both technical and non-technical teams.
Proactive ownership mindset and commitment to continuous improvement.
Note: All offers are contingent upon successful completion of a background check
*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.
AGS is an equal opportunity employer.
Job Snapshot
Location:
Duluth, Georgia
Job Type:
R&D/Game Development
Date Posted:
04/14/2026
About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.
Job Snapshot
Location:
Duluth, Georgia
Job Type:
R&D/Game Development
Date Posted:
04/14/2026
Job Description
Job Overview
AGS is seeking a Data Warehouse Engineer to support Business Intelligence in leading the migration, maintenance and continued enhancement of our on-premise, multi-system reporting environment into Microsoft Fabric. This role will architect, implement, and manage our unified cloud data platform-enabling advanced analytics, AI, self-service reporting, and modern data governance. The ideal candidate has deep experience in data engineering and Microsoft's cloud analytics ecosystem.
Responsibilities
Migration & Architecture
Assess current data sources, ETLs, and reporting frameworks.
Lead the end-to-end migration of BI, reporting, and ETL processes into Microsoft Fabric (Lakehouse, Warehouse, Pipelines).
Modernize or replace legacy SSIS/SSRS/SSAS processes with Fabric-native solutions.
Design and implement a centralized, scalable, and secure Fabric data architecture for both batch and streaming data.
Data Engineering
Develop and maintain ingestion, transformation, and orchestration pipelines.
Build and optimize Delta Lakehouse tables, semantic models, and datasets for reporting and AI workloads.
Ensure data quality, lineage, and compliance with governance standards.
Integrate data from Business Central, Dynamics Field Service, Salesforce, custom SQL sources, and AGSi streaming data.
Platform Management
Manage Fabric capacities, workspaces, permissions, and cost optimization.
Monitor platform performance, reliability, and data refresh SLAs.
Apply best practices for Fabric security, data governance, and CI/CD automation.
Cross-Functional Collaboration
Partner with BI, Data Science, and business teams to enable machine learning and real-time analytics.
Support the development of a scalable self-service data and reporting environment.
Skills/Requirements
5+ years of experience in data engineering or analytics engineering.
Hands-on experience with Microsoft Fabric, Datawarehouse, Data Lake, Spark, or similar cloud data platforms.
Strong SQL skills and proficiency with Python or PySpark.
Experience migrating from on-prem SQL/SSIS/SSAS/SSRS to cloud-based architectures.
Solid understanding of Delta Lake, medallion architecture, semantic modeling, and data governance.
Experience with Power BI dataset modeling and performance tuning.
Familiarity with streaming technologies (Event Hub, Kafka, Fabric Real-Time Analytics).
Exposure to AI integration, semantic models for AI, or Microsoft Copilot.
Experience with Dynamics 365, Business Central, Salesforce, or similar systems is a plus.
Strong understanding of cloud security, compliance, and best practices.
Any Microsoft certification in a related data, analytics, or MS Fabric field is a plus.
Soft Skills
Strong analytical and problem-solving skills.
Excellent communication and ability to work with both technical and non-technical teams.
Proactive ownership mindset and commitment to continuous improvement.
Note: All offers are contingent upon successful completion of a background check
*Posted positions are not open to third party recruiters and unsolicited resume submissions will be considered free referrals.
AGS is an equal opportunity employer.
About Us
AGS is a global company focused on creating a diverse mix of entertaining gaming experiences for every kind of player. Our roots are firmly planted in the Class II Native American gaming market, and our customer-centric culture and growth have helped us branch out to become a leading all-inclusive commercial gaming supplier. Powered by high-performing Class II and Class III slot products, an expansive table products portfolio, real-money gaming platforms and content, highly rated social casino solutions for operators and players, and best-in-class service, we offer an unmatched value proposition for our casino partners. Learn more at www.playags.com.