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Applicants for this role must be able to demonstrate prior experience building and supporting production-grade dashboards and datasets across Microsoft Power BI. As well as experience working directly with SQL Server to deliver clean, fast, and secure analytics.



What you will do

* Design star schemas and reusable semantic models for reporting
* Develop DAX measures and visuals that answer business questions
* Optimize performance using aggregations, model trimming, and efficient DAX
* Implement and test RLS for secure access
* Manage refresh, gateways, and deployment in Power BI Service
* Build and maintain Birst spaces, data prep, and dashboards
* Contribute to data platform practices across warehouse and Lakehouse tooling



What you bring

* Strong Power BI delivery in production environments
* Hands-on work for dashboards and data modeling
* Confident SQL on SQL Server, including window functions and tuning basics
* Practical understanding of DirectQuery, Import, and Composite Models
* Experience with Governance, Certified Datasets, and Deployment Pipelines
* Familiarity with Data Warehouse or Lakehouse patterns



This position is on-site 5 days per week in Newnan, GA.

Copilot Studio / Power Platform Engineer/Architect

Design, secure, and optimize enterprise-grade Copilot Studio and Power Platform solutions that extend Microsoft 365 and Dynamics 365. You will own the full technical delivery lifecycle - from data modeling and plugin development through deployment automation and analytics - creating scalable, production-ready conversational and automation experiences.

Technical requirements

* Copilot Studio experience is an essential requirement for this role: solution authoring, generative topic orchestration, conversation boosters, custom actions, multilingual intent models, memory management, and analytics
* Integration design across Dataverse, SharePoint, Azure SQL, Cosmos DB, and external systems using custom and certified connectors with secure, role-based access
* Configuration of Azure OpenAI or Azure AI Studio endpoints to ground Copilot responses in proprietary data via retrieval-augmented generation
* Development of Power FX formulas, reusable components, and PCF controls to extend Copilot-enabled Power Apps (Canvas, Model-driven) and Power Pages portals
* Automation engineering with Power Automate cloud flows, adaptive cards, approvals, trigger conditions, and API management
* Embedding Copilot experiences into Dynamics 365, Microsoft Teams, Viva, SharePoint, web portals, and mobile apps with single sign-on and contextual data sharing
* Live demos and presales enablement: design and deliver engaging demonstrations and technical workshops that showcase solutions, accelerate stakeholder buy-in, and drive platform adoption
* Implementation of environment governance: DLP policies, solution segmentation, managed-solution ALM, conditional access, audit logging, and tenant-level analytics
* CI/CD pipelines using Azure DevOps or GitHub Actions to automate builds, tests, and releases across multiple environments
* Security architecture covering Entra ID authentication, OAuth 2.0 token handling, data masking, information protection labels, and endpoint hardening
* Monitoring and optimization with Copilot Studio analytics, Application Insights, and Power BI to measure utilization, quality, and performance while driving continuous improvement

This is an opportunity to join a growing business in the Engineering and Manufacturing space and take ownership of the full Power BI lifecycle. In this role you will connect to sources, shape data with Power Query/M, build star-schema models, write advanced DAX, design visuals, and publish to the Service.



Candidates must be able to demonstrate strong experience in such roles prior to this one. Candidates will also be expected to demonstrate experience with:

* Building and maintaining enterprise-grade ETL pipelines with SSIS, Azure Data Factory, or similar to feed a data warehouse / data lake.
* Designing scalable tabular / SSAS models and implementing row-level security on large datasets.
* Optimizing report and query performance on high-volume platforms such as Snowflake or SQL Server.
* Administering workspaces, gateways, scheduled refresh, and usage monitoring in Power BI Service.
* Extending solutions with the wider Microsoft stack (Power Apps, Power Automate, Azure Data Lake) for end-to-end analytics workflows.



Must-have technical skills

* Prior experience developing enterprise Power BI solutions.
* Expert DAX and M query; creating complex KPIs and time-intelligence measures.
* Strong SQL (T-SQL, Snowflake SQL) and performance tuning.
* Hands-on experience with SSIS or Azure Data Factory ETL workflows.
* Proven ability to model data in star / snowflake schemas and secure it with RLS.
* Experience managing Power BI gateways, incremental refresh, and CI/CD of BI assets (DevOps or Git).

This role focuses on building scalable data pipelines, integrating diverse data sources, and enabling predictive analytics across cloud environments.



Key Technical Requirements:

* Strong hands-on experience developing data pipelines using Python
* Strong SQL skills, including performance tuning, stored procedures, and data modeling (Star/Snowflake schemas)
* Proven experience with Azure Data Factory (ADF) and Azure Synapse
* Experience with ETL orchestration tools such as Apache Airflow
* Skilled in working with structured and unstructured data, including ingestion from APIs (REST/JSON/XML)
* Familiarity with cloud-based warehousing tools such as Snowflake, Redshift, or BigQuery
* Comfortable working in Azure and/or hybrid cloud environments (Azure/AWS)
* Experience supporting machine learning or predictive modeling pipelines
* Familiar with containerization and version control: Docker, Git, and Azure DevOps
* Understanding of data serialization formats (Parquet, Avro, JSON)
* Knowledge of data validation, quality checks, and observability tools (Azure Monitor, logging frameworks, etc.)



Candidates will be expected, during the interview process, to demonstrate deep hands-on technical experience in data pipeline development, cloud orchestration, and ML-ready data infrastructure.



This position will require the successful applicant to work 5 days per week on site.