Consultant Data Engineer + AI
Job Summary
MicrosoftIndustry Solutions -Global Center for Innovation and DeliveryCenter(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 presentsa great opportunityfor highly skilled services professionals to make a foray into consulting solutiondevelopmentand 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 aData & AIconsultant you will deliver quality engagements with yourexpertiseasakeycontributortohigh profiledata and AIprojects to ensure customer ideal candidate must have the ability to combine their technical skills leadership skills creativity and customer focus to deliver greatsolutions to the customers and ensure they get the best out of our technologies and solutions. Consulting Delivery professionals bring subject matter and solutionexpertiseto 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 partnerobjectives.
Responsibilities
Works as an Individual contributor and key member of the Dataand AIteam and helps intimelyexecution of assigned deliverables withaccurateestimates 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 businessobjectivesof customers and partners.
Works to accelerate the value proposition of customer/partner engagements by helping to design develop and deploy solutionson Microsoft technologies andmethodologies.
Contributes tothe overall efficacy and quality of a project teams technical delivery withinassignedengagements.
Defines dependencies and risks that go beyond the immediate scope andtimeframefor a complex 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 asappropriate 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 withinnovation and digital transformationinitiatives. Ensures the use of existing intellectual property (IP) anddelivers value to customers.
Responsible for implementing the technology strategywith 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.
Consistently upskills through regular trainings and certifications on AzureDataand AI to be able to contribute to the future needs of the organization and customers
Qualifications
4 - 6 years of experience
Bachelors degree in computer science engineering or equivalent work relevant education is preferred.
Knowledge of solution design planningdevelopmentand deployment of complex solutions
One or more of the following certifications or an equivalent industry certificationis 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 Warehouseand analyticsusing platformslikeMicrosoft FabricandAzure Synapse Analytics; Azure Databricks is a plus
Experience/knowledge of one or more SQL and NoSQL database systems
Hands-on experience buildingAI-powereddata pipelines using ETL/ELT toolslike:
Azure Data Factory (ADF) SSIS Talend Informatica Airflow
Exposure to data migrations platform upgrades and modernization efforts
Understanding of multitenant data platform designs basic security hardening and access control concepts
Knowledge of Big Data ecosystems like Spark Databricks Kafka Hadoop etc.
AI / ML Foundations
Experience building or supporting ML ready datasets and basic feature engineering
Exposure to operationalizing ML pipelines andMLOpsconcepts on Azure stack
Foundational knowledge of:
Large Language Models (LLMs)
Model training evaluation and deployment workflows
Azure cloud and AI stack like Azure Foundry Azure OpenAIetc
Handson experience or knowledge in one or more of:
NLP Document Intelligence & Indexing
Computer Vision
RAG frameworks or AI Search
Basic understanding of Prompt Engineering
Exposure to or knowledge of deep learning/Gen AI frameworks such as TensorFlow/PyTorch and orchestration frameworks likeLangChain/LangGraph
Familiarity with Responsible AI principles fairness interpretability and governance
Engineering Practices & Delivery
Experience working in Agile teams withknowledgeof/exposure to Azure DevOps
Understanding ofDataOpsandMLOpspractices automated testing CI/CD pipelines and deployment workflows preferably on AzureFoundry
Knowledge of secure coding practices observability basics and performance considerations
Handson programming experience preferably in Python
Consulting Mindset & Collaboration
Ability to work closely with senior consultants architects and customers toco-create innovative solutions with customers to help solve their business challenges
Strong communicationskills to explain technical concepts to business stakeholders
Comfortable working in ambiguous environments learning quickly and adapting to change
Eagerness to build engineering excellence reusable components and best practices
Growth & Learning Orientation
Strong interest in continuous learning and technical certifications
Curiosity to explore emerging data and AI technologies
Willingness to receive feedback grow technical depth and expand ownership over time
Data Architecture Foundations (Good to have)
Good understanding of core data architecture patterns:
Dimensional modeling
Lambda and Kappa architectures
Timeseries data processing
Familiarity with Azure Stream Analytics and Azure Analysis Services
Awareness of data governance concepts and tools (opensource or proprietary)
This position will be open for a minimum of 5 days with applications accepted on an ongoing basis until the position is filled.
Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age ancestry citizenship color family or medical care leave gender identity or expression genetic information immigration status marital status medical condition national origin physical or mental disability political affiliation protected veteran or military status race ethnicity religion sex (including pregnancy) sexual orientation or any other characteristic protected by applicable local laws regulations and ordinances. If you need assistance with religious accommodations and/or a reasonable accommodation due to a disability during the application process read more about requesting accommodations.
Required Experience:
IC