Senior Technology Consultant

Microsoft Industry Solution - India Global Delivery Center IGDC delivers end-to-end solutions by enabling accelerated adoption and productive use of Microsoft technologies An organization of well over 2000 exceptional people IGDC 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 for technology has the 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 Microsoft consultant you will deliver quality engagements with your expertise either as an advisor reviewer contributor or resource 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 0 button presentation aria-disabled properties TabIndex 0 viewState displayMode AppMagic Constants DisplayMode Edit event click handleClick shortcut provider shortcutProvider enabled shortcutsEnabled data-shortcut-id 24893 Responsibilities Works as a Individual contributor or Leads the engineering team and provides accurate time estimates sets work priorities and makes 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 or partner engagements by helping to design develop and deploy solutions based on Microsoft technologies and methodologies Applies information-compliance and assurance policies to ensure stakeholder confidence Responsible for the overall efficacy and quality of a project team s technical delivery within his or her 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 Identifies a best practice approach for a project across a wide scope of technical issues and develops or reuses intellectual capital with customers world-wide and for programs and initiatives across Microsoft Drives opportunities to expand or accelerate the adoption and consumption of the 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 Drives innovation and digital transformation Ensures the use of the existing intellectual property IP and improves predictability Defines the technology strategy for large and complex engagements so that customers or partners realize the full value of investment Responsible for implementing the technology strategy Drives new ways of thinking across the division and subsidiary to improve quality engineering productivity and responsiveness to feedback and changing priorities Qualifications 10 years of Data Engineering experience Over 5 years of experience in designing and leading Data Warehouse Lakehouse and analytical solutions using platforms such as Microsoft Fabric Azure Synapse Analytics Snowflake and Teradata Strong Experience in large database solutions on premises cloud and hybrid implementations Strong experience in Serverless Architecture Microservices Strong experience of full application life cycle design tools and methodologies Strong experience in one or more technologies under each of the following Big Data stack Spark Spark Streaming Databricks Kafka Hadoop Hive HDInsight Database Stack Strong database experience with OLTP OLAP data storage mechanism and architecture Columnar RedShift Vertica OSS MySQL PostgreSQL and MariaDB CosmosDB MongoDB Redis Cassandra - key-value stores graph databases RDF triple stores Level 400 knowledge in one and preferably more of the database engines engine stack including engine level debugging for ex CXPACKET analysis Disk throttling storage IO contentions Network contentions performance optimizations Strong experience in Data Engineering Data Architecture Dimensional Modelling Lambda Kappa architecture Time series data Azure Stream Analytics Azure Analysis ServiceMust have experience in two or more relational DBMS Microsoft SQL Azure Synapse and or Oracle Teradata Netezza Ability to design and drive large Data Migrations using necessary ETL technologies ADF SSIS Talend Pentaho Informatica Drive multi-tenant database designs security hardening of the data platform Expertise in implementation of Data governance practices using either open source or proprietary tools Expertise in Data Ops Good experience in Agile Methodology Expertise in Azure DevOps and Setting examples for good engineering practices and coding along the way through automation where possible Industry experience in one or more of the following industries automotive energy travel and transportation financial services government health manufacturing media communications or retail supply chain Good to have AI ML experience Experience in building and operationalizing ML pipelines including feature engineering model training evaluation and deployment MLOps Hands-on experience in Natural Language Processing Document Intelligence Indexing or Customer Vision or RAG Framework or AI Search Good understanding of Prompt Engineering Basics Experience integrating AI models into enterprise data platforms and driving intelligent automation across business processes Familiarity with Responsible AI principles including fairness interpretability and governance of AI models Foundational Understanding of deep learning frameworks such as TensorFlow PyTorch LangChain LangGraph and ONNX with practical experience in NLP computer vision or time-series forecasting Microsoft is an equal opportunity employer All qualified applicants will receive consideration for employment without regard to age ancestry color family or medical care leave gender identity or expression genetic information marital status medical condition national origin physical or mental disability political affiliation protected veteran status race religion sex including pregnancy sexual orientation or any other characteristic protected by applicable laws regulations and ordinances We also consider qualified applicants regardless of criminal histories consistent with legal requirements If you need assistance and or a reasonable accommodation due to a disability during the application or the recruiting process please send a request via the