Azure Data & AI Architect

eGroup

. Lead End‑to‑End Solution Delivery: Own delivery end‑to‑end: requirements → architecture → design → build → test → deployment .

Posted 5/2/2026full-timeRemote • South Carolina • 🇺🇸 United StatesSeniorLead💰 $135,000 per yearWebsite

Tech Stack

Tools & technologies

AzureETLPython

About the role

Key responsibilities & impact

Lead End‑to‑End Solution Delivery: Own delivery end‑to‑end: requirements → architecture → design → build → test → deployment
Serve as the technical lead: set engineering standards, unblock delivery, and ensure quality across testing and release
Design and implement AI solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate, Copilot / Copilot Studio
Emphasize security, governance, and real‑world usability over experimentation for its own sake
Build data platforms using Azure data services (ADF, Databricks, Synapse, ADLS) and/or Microsoft Fabric
Deliver production‑grade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloads
Use Power Platform (Power Apps, Power Automate, Power BI) when it’s the right tool for rapid business value
Partner with engineers and business stakeholders to translate requirements into buildable designs
Coordinate with security and governance teams to ensure solutions meet best practices and client constraints
Communicate architecture decisions — including tradeoffs — in plain language
Act as a trusted advisor: align scope to outcomes, manage expectations, and keep clients informed when things change
Create reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery quality
Stay current on Azure AI and data platform changes and apply learning pragmatically to client solutions
Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs as needed.

Requirements

What you’ll need

10+ years delivering technology solutions, including 5+ years leading data engineering, analytics, or AI work on Azure
Clear evidence of personal ownership — you can explain what you built, why you chose it, and what you’d change next time
Hands‑on experience with Azure AI services and Azure data platforms and/or Microsoft Fabric
Ability to design scalable patterns (lakes, warehouses, modeling) and integrate AI responsibly into workflows
Practical operational mindset (CI/CD and MLOps experience is a plus)
Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without hand‑holding
Strong client‑facing communicator who can explain complex decisions clearly and lead technical direction confidently
Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience
Consulting or professional services background
Power Platform and Power BI experience
Microsoft Fabric and data governance familiarity
Azure DevOps, CI/CD, and infrastructure‑as‑code experience
Relevant Microsoft certifications
Python used in real production systems
Experience writing and maintaining code for data processing, automation, or model deployment.

Benefits

Comp & perks

🌐 Worldwide ❌ Jobs You've Hidden ⭐️ Saved Jobs ✅ Applied Jobs ✉️ Email Alerts 👤 Account eGroup Website LinkedIn All Job Openings 51 - 200 employees Founded 2003 🏢 Enterprise 🔒 Cybersecurity 💰 Private Equity Round on 2021-10 Enterprise
Cybersecurity
Cloud eGroup is a leading provider of IT solutions and an award-winning managed service provider (MSP) specializing in empowering organizations to leverage technology for business success. With a team of experts and a focus on customer-centric approaches, eGroup offers a wide range of services including cloud, hybrid data center, security, data and AI, collaboration, and managed services. It is recognized for its cutting-edge cloud security solutions and its comprehensive range of services aimed at improving business practices through technology. Azure Data & AI Architect 🔥 5 minutes ago 🌴 South Carolina – Remote 💵 $135k / year ⏰ Full Time 🟠 Senior 🔴 Lead 🤖 AI Engineer 🦅 H1B Visa Sponsor Azure ETL Python Apply Now Find Hiring Managers Customize resume for this job Report problem ☆ Save ☑️ Mark as applied ❌ Hide 📋 Description
Lead End‑to‑End Solution Delivery: Own delivery end‑to‑end: requirements → architecture → design → build → test → deployment
Serve as the technical lead: set engineering standards, unblock delivery, and ensure quality across testing and release
Design and implement AI solutions using Azure AI services (e.g., Azure OpenAI, Cognitive Services, Azure Machine Learning) and, where appropriate, Copilot / Copilot Studio
Emphasize security, governance, and real‑world usability over experimentation for its own sake
Build data platforms using Azure data services (ADF, Databricks, Synapse, ADLS) and/or Microsoft Fabric
Deliver production‑grade pipelines (ETL/ELT), storage and compute patterns, and data models supporting BI and AI workloads
Use Power Platform (Power Apps, Power Automate, Power BI) when it’s the right tool for rapid business value
Partner with engineers and business stakeholders to translate requirements into buildable designs
Coordinate with security and governance teams to ensure solutions meet best practices and client constraints
Communicate architecture decisions — including tradeoffs — in plain language
Act as a trusted advisor: align scope to outcomes, manage expectations, and keep clients informed when things change
Create reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery quality
Stay current on Azure AI and data platform changes and apply learning pragmatically to client solutions
Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs as needed. 🎯 Requirements
10+ years delivering technology solutions, including 5+ years leading data engineering, analytics, or AI work on Azure
Clear evidence of personal ownership — you can explain what you built, why you chose it, and what you’d change next time
Hands‑on experience with Azure AI services and Azure data platforms and/or Microsoft Fabric
Ability to design scalable patterns (lakes, warehouses, modeling) and integrate AI responsibly into workflows
Practical operational mindset (CI/CD and MLOps experience is a plus)
Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without hand‑holding
Strong client‑facing communicator who can explain complex decisions clearly and lead technical direction confidently
Bachelor’s degree in Computer Science, Engineering, or equivalent professional experience
Consulting or professional services background
Power Platform and Power BI experience
Microsoft Fabric and data governance familiarity
Azure DevOps, CI/CD, and infrastructure‑as‑code experience
Relevant Microsoft certifications
Python used in real production systems
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Hard Skills & Tools

Azure AI servicesAzure data servicesETLELTdata modelingCI/CDMLOpsPythondata processingautomation

Soft Skills

client-facing communicationtechnical leadershipproblem-solvingownershipadaptabilityexpectation managementclear communicationcollaborationdecision-makingtradeoff analysis

Certifications

Microsoft certifications