We are actively seeking Senior Data Solution Architect - Data & AI professionals to join our team, catering to customers of different sizes in enterprise, regulated, and partner services organizations. By expressing your interest in this role, you open yourself up to multiple opportunities within Microsoft across the United States, potentially extending beyond the initially posted location. The role offers flexibility, with travel percentages varying according to the specific role requirements. Join us in shaping the future of data and AI solutions at Microsoft.As a Senior Data Solution Architect specializing in Data & AI, you will play a crucial role in enabling customers to achieve their goals through strategic investments in Microsoft technology. Leveraging your expertise in Azure or Data & AI solutions, you will lead technical discussions with customers, guiding them to extract maximum value from their Microsoft investments and identifying solutions to overcome challenges hindering the success of their data and AI projects. You will be responsible for presales and delivery for Data and AI Solution Area. This opportunity provides a platform for accelerating your career growth, refining technical and collaborative skills, and deepening your proficiency in data and cloud technologies.Microsoft\'s overarching mission is to empower every person and organization globally to achieve more. As part of our team, you will contribute to this mission with a growth mindset, innovative thinking, and collaborative efforts. Our daily endeavors align with values of respect, integrity, and accountability, fostering an inclusive culture where everyone can thrive both at work and beyond.Responsibilities:Technical ExpertiseSQL including OSS (postgre, MySQL etc), Azure SQL
NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DBBig Data including SQL DW, Snowflake, Big Query, Redshift
Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI, Tableau
Data GovernanceMachine Learning including Azure ML, ML Server, TensorFlow, or similar frameworksExperience in moving data from on-premises data platforms to the cloudExpertise in Big Data and Data Warehouses, including Azure Synapse Analytics, Azure Data Lake, and Azure Data ExplorerAdvanced Analytics proficiency with tools like Azure Synapse Analytics, Azure Databricks, and data visualization tools (PowerBI, Tableau)Knowledge of cloud infrastructure, storage optimization, and query optimizationsExperience in delivering and managing the lifecycle of software/services using DevOps/MLOpsDemonstrated prior experience in Big Data, modern data warehouse, business intelligence, data ingestion & transformation (ETL/ELT), IoT, analytics models, and data visualizationAbility to integrate data analytics into applications and systemsAbility to work collaboratively in a challenging, dynamic environment with cross-functional teams from sales and services to researchAbility to educate customers and partners on the power of data analytics using Azure CloudAbility to formulate data analytics solutions by interacting with senior executives and key stakeholdersAbility to develop and maintain high-level technical proficiency in Azure cloud data analytics and AI/ML servicesAI architecture and pipeline planning
Understanding the workflow and pipeline architectures of ML and deep learning workloadsIn-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AIArchitecture Design and Deployment
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