Manager of Data Engineering

eNGINE builds Technical Teams. We are a Solutions and Placement firm shaped by decades of interaction with Technical professionals. Our inspiration is continuous learning and engagement with the markets we serve, the talent we represent, and the teams we build. Our Consulting Workforce is encouraged to enjoy career fulfillment in the form of challenging projects, schedule flexibility, and paid training/certifications. Successful outcomes start and finish with eNGINE.

Please make an application promptly if you are a good match for this role due to high levels of interest.
eNGINE is hiring a Manager of AI and Data Engineering serves as the organization's lead engineer while developing talent in the Artificial Intelligence space. This person owns the technical vision, architecture, engineering standards, and future-state capabilities that enable AI at enterprise scale.
The ideal candidate brings deep expertise across Azure, Microsoft Fabric, Databricks, Snowflake, modern software engineering, cloud-native architectures, and emerging AI technologies. They combine the technical depth to solve complex engineering challenges with the leadership ability to influence technology strategy across business and IT stakeholders.
Primary Responsibilities:Enterprise AI and Data Engineering:Establish technical standards, solution architectures, and engineering patterns for all AI initiativesLead technology decisions involving AI platforms, data platforms, cloud infrastructure, and intelligent automationEvaluate emerging AI technologies and determine their enterprise applicabilityCreate scalable architectural patterns that balance innovation, maintainability, security, and costServe as the coach for AI engineering across the organization
Enterprise AI Platform Ownership:Design and evolve AI platform capabilities across Azure, Microsoft Fabric, Databricks, and SnowflakeEstablish platform strategies for Generative AI, RAG, machine learning, agent frameworks, vector search, and intelligent automationDefine standards for AI lifecycle management, model deployment, monitoring, and observabilityBuild reusable engineering capabilities that accelerate AI deliveryEstablish AI engineering guardrails, governance controls, and operational standards
AI Application and Agent Development:Lead the design and implementation of enterprise AI agents and copilotsArchitect Retrieval-Augmented Generation (RAG) solutions that leverage enterprise knowledge assetsDesign intelligent workflows that integrate AI into operational business processesBuild scalable API and microservices architectures that expose AI capabilities across applicationsDrive adoption of AI-powered decision support, automation, and augmentationEstablish standards for prompt engineering, orchestration, evaluation, and AI performance measurement
Advanced Engineering Leadership:Serve as principal architect for highly complex AI and data initiativesLead technical design reviews and architecture governancePartner with engineering teams to solve difficult scalability, performance, reliability, and security challengesMentor and manage two or more engineersDrive engineering excellence through best practices, standards, code quality, and technical coaching
Minimum Qualifications:Bachelor's degree in Computer Science, Information Systems, Engineering, Data Science, or a related discipline4+ years of hands-on data and AI engineering, including machine learning, advanced analytics, or intelligent automationDemonstrated success delivering enterprise-scale production AI solutionsExceptional communication and influence skillsAbility to lead cross-functional initiatives without direct authority
Required Technical Expertise:Microsoft AzureAzure AI FoundryAzure Machine LearningAzure FunctionsAzure API ManagementAzure DevOpsCopilot StudioMicrosoft FabricDatabricksSnowflake
No C2C, relocation, referral, or sponsorship candidates for this role. xzbcwsv
For finer details on how eNGINE can impact your career, apply today!