Data Engineer with Dynamics 365 Exp and Power Platforms Need 12+ Years - Radiant System, Inc

Position: Data Engineer Location: Houston, Texas (100% Remote) Duration: 12 Months Job Summary We are seeking a seasoned Data Engineer with deep expertise in Microsoft Dynamics 365 (D365), the Power Platform, and enterprise data lifecycle management. This role will focus on designing and implementing scalable data solutions, with a strong emphasis on purging, archiving, supporting data retention policies, and delivering impactful reporting through Power BI. The ideal candidate will also leverage AI and automation to enhance data quality, streamline processes, and enable predictive insights, while supporting historical reporting environments in Databricks and Google Cloud Platform (Google Cloud Platform).Key Responsibilities Design and implement robust data pipelines and ETL processes using Microsoft technologiesIntegrate data from Microsoft D365 with other enterprise systems and databasesDevelop and maintain Power Platform solutions (Power BI, Power Automate, Power Apps)Build and optimize Power BI dashboards and reportsApply AI/ML techniques to improve data quality, detect anomalies, and forecast trendsCollaborate with stakeholders to understand data requirementsEnsure data governance, security, and complianceDocument data architecture, processes, and workflowsStrategic Responsibilities Champion the use of AI and automation to streamline data operationsIdentify opportunities for intelligent automation across reporting and integration workflowsLead initiatives embedding machine learning into business processesAlign data engineering efforts with the company s AI-first strategySpecialized Skills & Responsibilities Design and implement data purging strategies in Dataverse and D365 F&ODevelop archiving frameworks using Microsoft toolsSupport and enforce data retention policiesUtilize Dataverse APIs and Power Platform connectors for automationImplement machine learning models for data pattern analysisSupport historical reporting using Databricks and Google Cloud PlatformMonitor system performance and manage data volumesEnsure compliance with governance and security standardsMaintain documentation and audit trailsRequired Qualifications Bachelor s degree in Computer Science, Information Systems, or related field6 8 years of experience in data engineering or related rolesStrong experience with Microsoft D365 data structures and APIsProficiency in Power Platform tools (Power BI, Power Automate, Power Apps)Experience building Power BI dashboards and data modelsExperience with SQL, Azure Data Factory, and Microsoft cloud servicesHands-on experience with AI/ML tools (e.g., Azure ML, Python)Experience with Databricks and Google Cloud Platform for historical reportingFamiliarity with data governance and compliance standardsPreferred Skills Experience with Azure Synapse, Dataverse, and Common Data ServiceKnowledge of CI/CD pipelines and DataOps practicesExperience with Microsoft Purview or similar governance toolsExperience with automated data orchestration tools (e.g., Azure Data Factory, Apache Airflow)Exposure to MLOps practicesStrong problem-solving and communication skillsAbility to work cross-functionally with business, IT, and analytics teamsEmployers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

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