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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.
Required/Minimum Qualifications
Bachelor's degree in computer science, Information Technology, Engineering, or related field AND 8+ years' experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)
OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 6+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)
OR equivalent experience.
2+ years managing multiple projects or portfolios.
1+ year(s) experience leading blended, multidisciplinary teams.
Additional or Preferred Qualifications
Bachelor's degree in computer science, Information Technology, Engineering, or related field AND 12+ years' experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)
OR Master's Degree in Computer Science, Information Technology, Engineering, or related field AND 8+ years experience in technology solutions, practice development, architecture, consulting, and/or technology domain (e.g., Security)
OR equivalent experience.
6+ years technical sales experience.
6+ years project management experience.
3+ years people management experience, including managing consultant practice managers, technical sales managers, and/or technical architect managers.
Technical or Professional Certification in Domain (e.g., Security).
Technical Expertise
SQL including OSS (postgre, MySQL etc), Azure SQL
NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB
Big Data including SQL DW, Snowflake, Big Query, Redshift
Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI, Tableau
Data Governance
Machine Learning including Azure ML, ML Server, TensorFlow, or similar frameworks
Experience in moving data from on-premises data platforms to the cloud
Expertise in Big Data and Data Warehouses, including Azure Synapse Analytics, Azure Data Lake, and Azure Data Explorer
Advanced Analytics proficiency with tools like Azure Synapse Analytics, Azure Databricks, and data visualization tools (PowerBI, Tableau)
Knowledge of cloud infrastructure, storage optimization, and query optimizations
Experience in delivering and managing the lifecycle of software/services using DevOps/MLOps
Demonstrated prior experience in Big Data, modern data warehouse, business intelligence, data ingestion & transformation (ETL/ELT), IoT, analytics models, and data visualization
Ability to integrate data analytics into applications and systems
Ability to work collaboratively in a challenging, dynamic environment with cross-functional teams from sales and services to research
Ability to educate customers and partners on the power of data analytics using Azure Cloud
Ability to formulate data analytics solutions by interacting with senior executives and key stakeholders
Ability to develop and maintain high-level technical proficiency in Azure cloud data analytics and AI/ML services
AI architecture and pipeline planning
Understanding the workflow and pipeline architectures of ML and deep learning workloads
In-depth knowledge of components and architectural trade-offs involved across the data management, governance, model building, deployment and production workflows of AI
Architecture Design and Deployment
Practice Development
Thought Leadership
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