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About the role
Act as a trusted advisor for enterprise customers on cloud, data, analytics, and AI transformation initiatives. Lead architecture design, solution reviews, and technical guidance for Azure-based data platforms. Support customers in building governed, secure, and scalable data and AI solutions. Bachelor's degree in Computer Science, Engineering, Information Systems, or related field. 3+ years of experience in cloud architecture, data engineering, analytics, or solution consulting. Understanding of enterprise architecture, data platforms, and cloud operating models. Experience engaging with technical and business stakeholders. Azure certifications (AZ-305, DP-600, DP-203, AI-102, or equivalent). Experience delivering enterprise-scale cloud migrations or modernization programs. Experience in Financial Services, Insurance, Healthcare, Government, or other regulated industries. Experience with AI, machine learning, and data governance initiatives. Strong executive communication and presentation skills. Demonstrates strong customer obsession and ownership. Balances technical depth with business outcome focus. Collaborates effectively across virtual teams. Shows growth mindset, curiosity, and continuous learning. Is comfortable working with enterprise customers and senior stakeholders. Can independently drive technical delivery while contributing to Azure consumption growth and customer success. Deliver technical execution that converts MACC commitments into realized Azure consumption. Design AI-enabled architectures that integrate data platforms, governance, and security requirements. Collaborate with specialists and engineering teams to accelerate AI solution adoption.
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