Recherche actuelle

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 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.

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.