Senior Consultant - Data & AI

Job description

**Overview** Microsoft Industry Solutions - Global Center for Innovation and Delivery Center (GCID) delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies. An organization of well over 2000+ exceptional people, GCID presents a great opportunity for highly skilled services professionals to make a foray into consulting, solution development and delivery roles. The ideal consultant is passionate about technology, has breadth rather than specific product depth, and has the drive and courage to articulate and stand up for a great solution delivering true value for the client. As a Senior Data & AI Consultant, you will design and deliver modern, cloud-native and AI-powered data solutions that drive measurable business outcomes, deliver quality engagements with your expertise, either as an advisor, reviewer, or contributor in high profile projects to ensure customer value. The ideal candidate must have the ability to combine their technical skills, leadership skills, creativity, and customer focus to deliver great solutions to the customers and ensure they get the best out of our technologies and solutions. Consulting Delivery professionals bring subject matter and solution expertise to architectural teams, customers, and partners. They apply deep technical and business knowledge to accelerate the adoption of Microsoft devices and services by ensuring strategic, architectural, and operational alignment to customer and partner objectives. **Responsibilities** - Lead technical delivery of complex, cloud native and AI enabled engagements, contributing as a hands-on individual contributor and, where required, leading engineering teams to ensure high-quality, predictable outcomes. - Define and drive the technology strategy for large and complex customer engagements, ensuring solutions are scalable, secure, compliant, and aligned to business objectives, architectural best practices, and Microsoft reference architectures. - Design, develop, and deploy solutions on Microsoft Azure, accelerating customer value through the effective use of Microsoft technologies, platforms, and delivery methodologies while meeting quality, time, and cost constraints. - Identifies the best practice approach for a project, across a wide scope of technical issues, and develops or reuses intellectual capital (IP) with customers, world-wide, and programs and initiatives across Microsoft. - Identifies 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. - Collaborates, as appropriate, with peers and cross-functional teams to scale the business with existing high-stake or strategic customers, by articulating/developing value propositions for strategic Microsoft products and services. - Drives AI-First data engineering principles and mindset in the team to make the best of AI tools and services while helping in orchestration, transformation, and operationalization of AI/ML-powered data solutions. - Continuously upskill self to become strong Full stack data engineer, inspire their team as much, to be able to build future-ready skills, collaborate with other specialist teams, product teams, and customers to co-create innovative solutions and help the customers tackle some of their biggest challenges. - Drives new ways of thinking, across the division and subsidiary, to improve quality, engineering productivity, and responsiveness to feedback and changing priorities. - Implement rapid prototyping and able to lead from brainstorming and whiteboarding ideas to production-ready solutions driven by AI-first mindset.  Upskill consistently to get better in this and deliver innovation for customers using Azure stacks. - Embody Microsoft [culture](https://nam06.safelinks.protection.outlook.com/?url=https://careers.microsoft.com/us/en/culture&data=04%7c01%7closmit%40microsoft.com%7c27f2181d96804234953708d8f3b22d06%7c72f988bf86f141af91ab2d7cd011db47%7c1%7c0%7c637527293867872556%7cUnknown%7cTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7c1000&sdata=QnmEU%2BvawaPM5eEUL1FxWPmhizgKnDLFj6dlUTOWRB0%3D&reserved=0) and [values](https://nam06.safelinks.protection.outlook.com/?url=https://www.microsoft.com/en-us/about/corporate-values&data=04%7c01%7closmit%40microsoft.com%7c27f2181d96804234953708d8f3b22d06%7c72f988bf86f141af91ab2d7cd011db47%7c1%7c0%7c637527293867882502%7cUnknown%7cTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7c1000&sdata=p3lkWaIXzH3t9t1hS9bOfKhtDFWPj6gi8zZU94LWRso%3D&reserved=0) **Qualifications** Qualifications - 10+ years of experience - Bachelor's degree in computer science engineering or equivalent work experience. Higher relevant education is preferred. - Customer facing Project delivery leadership experience involving solution design, project envisioning, planning, development and deployment of complex solutions with minimum of 5 plus years. One or more of the following certifications, or other industry equivalent ones, is a plus: - Microsoft Certified: Fabric Analytics Engineer Associate (DP600) - Microsoft Certified: Azure AI Engineer Associate (AI102) - Microsoft Certified: Azure Solution Architect Expert (AZ-305) Areas of Expertise Data Architecture & Platform Engineering - Lead enterprise data architecture/design across cloud, on-prem, and hybrid environments, designing scalable Data Warehouse, Lakehouse, and analytics platforms using Microsoft Fabric, Azure Synapse Analytics. Knowledge of Azure Databricks is a plus - Architect modern platforms using Azure Data Services, serverless and microservices architectures, including largescale data migrations, platform modernization, and multitenant, security hardened designs - Apply deep expertise across OLTP/OLA