Consultant - Data & AI

About this role

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Skills you'll use

What you'll do

• Works as an Individual contributor and key member of the Data and AI team and helps in timely execution of assigned deliverables with accurate estimates, work priorities, and accommodates project changes and trade-offs necessary for a successful release.
• Applies technical experience and industry-specific knowledge to develop solutions, based on an analysis of how the proposed approach affects the business objectives of customers and partners.
• Works to accelerate the value proposition of customer/partner engagements by helping to design, develop, and deploy solutions on Microsoft technologies and methodologies.
• Contributes to the overall efficacy and quality of a project team’s technical delivery within assigned engagements.
• Defines dependencies and risks that go beyond the immediate scope and timeframe for a complex project. Develops contingency plans, risk-mitigation implementation criteria, and alternative strategies to manage short- and long-term risks and manages technical escalations.
• Drives opportunities to expand or accelerate the adoption and consumption of cloud and Microsoft technologies. Collaborates, as appropriate, with peers and other teams (e.g., Sales, account-aligned team) to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions of strategic Microsoft products and services.
• Align with innovation and digital transformation initiatives. Ensures the use of existing intellectual property (IP) and delivers value to customers.
• Responsible for implementing the technology strategy with support from Senior peers
• Applies information-compliance and assurance policies to ensure stakeholder confidence.
• Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities.

Who can apply

• 4 - 6 years of experience
• Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred.
• Knowledge of solution design, planning, development and deployment of complex solutions
• One or more of the following certifications, or an equivalent industry certification is a plus:   Microsoft Certified: Azure Data Engineer Associate (DP-600)  / Microsoft Certified: Azure AI Engineer Associate (AI102)  / Microsoft Certified: Azure Solution Architect Expert (AZ-305)
• Core Data Engineering & Platform Skills
• Hands-on experience in Data Engineering across cloud, on-prem, and hybrid environments
• Strong foundational experience with Azure Data Services and data platform modernization initiatives
• Handson exposure to Data Warehouse and analytics using platforms like Microsoft Fabric, and Azure Synapse Analytics; Azure Databricks is a plus

About Microsoft

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