Data architect

Job Description

Insight Global is looking for an Azure Data & AI Architect to join the team supporting a commercial client. The Architect will be responsible for the following:

design and personally deliver modern data and AI solutions in the Microsoft ecosystem (Azure AI services, Microsoft Fabric, and Azure data platforms).

This is a hands-on consulting role - approximately 80% delivery / build work, with the remainder focused on continuous learning and occasional pre-sales support.

You'll work directly with clients to understand their goals, translate ambiguity into a clear technical plan, and deliver solutions that are secure, scalable, and explainable to both technical and non-technical stakeholders.

This role is not research-only, prompt-only, or slideware-focused. You will be expected to ship real solutions.

This role is client-facing. Clear, timely communication and follow-through are part of the job.

We review applications for specificity and real project ownership. If your application is generic, overly polished, or doesn't show what you built, it will not move forward.

Application requirement: Please answer the three short questions within this posting. Applications without these answers will not be reviewed.

Key Responsibilities

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

Architect AI Solutions

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

Develop Modern Data Platforms

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

Leverage Automation & Power Platform (Bonus Skill)

Use Power Platform (Power Apps, Power Automate, Power BI) when it's the right tool for rapid business value

Power Platform experience is a plus, not the primary focus

Collaborate Across Teams

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

Client Engagement & Communication

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

Innovation & IP Development

Create reusable internal assets (reference architectures, accelerators, playbooks) that improve delivery quality

Continuous Learning

Stay current on Azure AI and data platform changes and apply learning pragmatically to client solutions

Pre-Sales Support (As Needed)

Support early discovery, solution envisioning, and contribution to technical proposals, estimates, and SOWs

We are a company committed to creating diverse and inclusive environments where people can bring their full, authentic selves to work every day. We are an equal opportunity/affirmative action employer that believes everyone matters. Qualified candidates will receive consideration for employment regardless of their race, color, ethnicity, religion, sex (including pregnancy), sexual orientation, gender identity and expression, marital status, national origin, ancestry, genetic factors, age, disability, protected veteran status, military or uniformed service member status, or any other status or characteristic protected by applicable laws, regulations, and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or recruiting process, please send a request to View email address on jobs.institutedata.com learn more about how we collect, keep, and process your private information, please review Insight Global's Workforce Privacy Policy:

Skills and Requirements

Clear evidence of personal ownership - you can explain what you built, why you chose it, and what you'd change next time

Azure & Data Expertise

Hands-on experience with Azure AI services and Azure data platforms and/or Microsoft Fabric

Architecture Judgment

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)

Problem-Solving & Adaptability

Comfortable working in ambiguity, making tradeoffs explicit, and keeping delivery moving without hand-holding

Communication & Leadership

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