At AIS, we are dedicated to providing our employees with diverse opportunities to grow their careers while supporting a variety of impactful projects. For this position, we are seeking a talented individual to join AIS as a Lead Data Analytics Engineer.

• Core Knowledge & Skills: Masters SQL and data architecture; builds end-to-end pipelines on cloud platforms; ensures security and compliance; leverages APIs and advanced AI/ML; plans and leads projects and team resources.
• Work & Complexity: Owns full lifecycle delivery; resolves ambiguous, enterprise-scale problems; shapes technical direction and project outcomes.
• Quality & Independence: Establishes best practices and performance metrics; oversees QA for major initiatives; operates with wide decision latitude.
• Teamwork & Communication: Leads teams implementing complex solutions; aligns with business objectives; serves as primary liaison to executives; drives structured feedback.
• Consulting & Engagement: Advises executive stakeholders on strategic data initiatives; leads consulting teams; embeds innovative, data-driven

As your initial project assignment, you will support the unique needs of our client as a Application Integration SME.
AIS is hiring a skilled Application Integration Engineer is responsible for designing, building, and maintaining data integration pipelines that connect Microsoft Dataverse and the Power Platform with internal and external systems. This role focuses on ensuring reliable, secure, and performant data migration and integration across cloud and on-premises environments.

Key Responsibilities

• Design, develop, and maintain data integration and migration pipelines between Dataverse/Power Platform and disparate source and target systems (on-premises, cloud, and SaaS)
• Build and orchestrate ETL/ELT processes using Azure Data Factory, SQL Server Integration Services (SSIS), and Power Apps/Power Platform Dataflows
• Develop and support integration flows using Power Automate, including scheduled, triggered, and event-driven workflows
• Design, consume, and expose REST APIs and web services to enable bi-directional data exchange between Dataverse and external systems
• Configure, maintain, and troubleshoot the On-Premises Data Gateway to enable secure connectivity between cloud services and on-premises data sources
• Perform data profiling, cleansing, mapping, and transformation activities to ensure data quality and integrity throughout migration and integration processes
• Develop and maintain error handling, logging, alerting, and monitoring for all integration pipelines to ensure reliability and rapid issue resolution
• Collaborate with solution architects, functional consultants, and business stakeholders to gather integration requirements and translate them into technical designs
• Document data flows, integration architecture, mapping specifications, and operational runbooks
• Participate in data migration planning and execution for new Dataverse implementations, including extraction, transformation, validation, and load activities
• Optimize integration performance, including throughput, latency, and API/service protection limits within Dataverse and connected systems
• Support testing efforts including unit, integration, and user acceptance testing for data migration and integration solutions
• Apply security and compliance best practices for data in transit and at rest, including credential/secrets management and role-based access control
• Provide production support and troubleshooting for integration failures, data discrepancies, and performance issues
• Stay current with Microsoft Power Platform, Dataverse, and Azure integration service updates and recommend improvements to existing solutions

Required For This Opportunity

• Active Top Secret Clearance
• 5+ years of experience in data engineering, data migration, or systems integration roles
• Demonstrated experience integrating and migrating data into/out of Microsoft Dataverse and Power Platform
• Hands-on experience with Power Automate for building integration and orchestration workflows
• Hands-on experience with Power Apps/Platform Dataflows
• Hands-on ETL experience with SQL Server Integration Services (SSIS)
• Hands-on experience with pipeline orchestration/data movement in Azure Data Factory
• Experience designing, consuming, and troubleshooting REST APIs for system-to-system integration
• Experience configuring and maintaining the On-Premises Data Gateway
• Strong proficiency in SQL (query optimization, relational database design)
• Solid understanding of Dataverse data model, entity relationships, and Power Platform security model (business units, security roles, teams)
• Experience with data mapping, transformation logic, and data quality validation techniques
• Familiarity with authentication and authorization protocols (OAuth 2.0, Azure AD/Entra ID app registrations, service principals)
• Strong analytical/troubleshooting skills; ability to diagnose complex data/integration issues

Nice to Have Skills

• Microsoft certifications such as PL-400, PL-600, DP-600, DP-203, or AZ-204
• Azure Logic Apps and/or Azure Functions for custom integration logic experience
• Dataverse virtual tables/entities and virtual connectors experience
• Familiarity with Microsoft Fabric, Dataverse short-term retention, or Azure Synapse Link for Dataverse
• Experience with source control and CI/CD practices (Azure DevOps, GitLab CI/CD)
• Knowledge of message-based/event-driven integration patterns (Azure Service Bus, Event Grid, webhooks)
• Experience with API management platforms
• Familiarity with data governance, master data management, and data retention/archival practices
• Experience in integrating Power Platform with ERP or CRM systems
• Working knowledge of C#/.NET or PowerShell for custom connectors, plug-ins, or automation scripting
• Experience with Application Lifecycle Management (ALM) for Power Platform solutions (managed/unmanaged solutions, environment strategy)
• Familiarity with monitoring and observability tooling (Application Insights, Azure Monitor)

At AIS, we are committed to offering competitive and fair compensation that reflects the skills, experience, and contributions of each team member.The targeted base salary range for this role is $125,000-$189,000 per year. Please note that this range is provided as a guideline and the final offer will be based on several factors, including but not limited to, skillset and competencies, level of experience, education, certifications, and location.We value transparency in our hiring process and are happy to discuss how your unique qualifications align with our compensation structure during the interview process.