Senior Consultant Data, AI
Microsoft (company site, opens in a new tab)10+ yrsOn-siteDirect career pageEst. 35–60 LPA
Posted on 2 Sept
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Job description
Structured overview of role & requirements
About This Role
- 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.
Minimum Requirements
- 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).
Ideal Candidate Profile
- 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.