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Tier-1 brand, broad Azure Data/AI skillset, and metro senior role increase candidate competition.
Role requires Azure-specific Data/AI platform experience, making cross-industry transfers limited.
Explicit 10+ years, Azure/Data platform expertise, and domain certifications make filters highly strict.
Execute and deliver high-profile data and AI projects with accurate estimates and prioritization as an individual contributor in the Data and AI team.
Design, develop, and deploy data and AI solutions using Microsoft technologies ensuring alignment with customer business objectives and accelerating cloud technology adoption.
Manage risks and dependencies on complex projects, collaborate with sales and account teams to drive technology consumption, and contribute to innovation and digital transformation initiatives.
10+ years of relevant industry experience.
Bachelor's degree in computer science engineering or equivalent work experience; higher education preferred.
Hands-on experience in data engineering with Azure Data Services, data warehouse and analytics platforms like Microsoft Fabric and Azure Synapse Analytics.
Experience with Azure Data Factory or similar ETL/ELT tools, AI/ML foundations including operationalizing ML pipelines on Azure, and preferably Microsoft Azure certifications listed (e.g. DP-600, AI-102, AZ-305).
Technically adept professional with deep expertise across cloud-based data engineering and AI, combined with consulting delivery experience focusing on business value.
Experience working in Agile environments with strong skills in Azure DevOps, DataOps, MLOps, secure coding practices, and building reusable engineering components.
Strong collaboration and communication skills to work with senior stakeholders, architects, and customers in ambiguous settings to co-create innovative data and AI solutions.