Data Intelligence Specialist
3 tygodni temu
Unlock the Power of Data and AI
At Microsoft, we're on a mission to empower every person and organization on the planet to achieve more. As a Data Intelligence Specialist, you'll play a critical role in helping our customers unlock the full potential of their data and AI.
About the Role
We're seeking a highly skilled and experienced professional to join our team as a Technical Sales Expert. As a Technical Sales Expert, you'll be responsible for working with our customers to understand their business needs and develop solutions that meet those needs.
Key Responsibilities
- Proactively engage with customers to understand their business needs and develop solutions that meet those needs.
- Design and implement solutions that leverage Microsoft's cloud-based technologies to drive business value for our customers.
- Work collaboratively with cross-functional teams to ensure successful customer outcomes.
- Stay up-to-date with the latest industry trends and technologies to ensure that our customers are always ahead of the curve.
Requirements
- Extensive experience in technical pre-sales or technical consulting.
- Demonstratable experience with cloud and hybrid, or on-premises database infrastructures, architecture designs, migrations, industry standards, and/or technology management.
- Partnerships: Experience leveraging partner solutions to solve customer needs and scale opportunities.
- Proof of Concepts: Experience creating Database, Analytics, and AI Proofs of Concept (PoC)/Pilots for customers that lead to production deployments.
- Cross-organizational and functional collaboration skills to drive the optimal solution for the customer need.
Preferred Qualifications
- Certification in relevant technologies or disciplines.
- Azure Certifications: Azure Data Engineer Associate (DP 203) or Azure AI Engineer Associate (AI-102) or Enterprise Data Analyst Associate (DP 600) or Azure Cosmos DB Developer Specialty (DP 420) or Fabric Analytics Engineering Associate (DP-600).
- Knowledge of Database platforms such as AWS, GCP, Mongo DB, and Oracle. Knowledge of Intelligent Data and Analytics platforms such as Snowflake, Databricks, AWS (Redshift), GCP Big query, Teradata, Netezza, Exadata, Apache Spark, Tableau, Qlik, Looker, etc. including financial performance, key messaging, and roadmap. Knowledge of AI platforms (AWS, Google, IBM, and Oracle) Certifications: Google Cloud Professional ML Engineer, AWS Certified Machine learning, or IBM certified Data Science professional.
- Deep domain knowledge in Databases, Analytics, and AI: Understands Database Platforms: Microsoft Azure SQL Database, Cosmos DB, PostgreSQL, MongoDB, Oracle, MySQL, Redis, Elasticsearch, IBM Db2, Snowflake, Cassandra DB, Maria DB, etc. Understands Analytics Platforms: Fabric, Azure Databricks, Snowflake, real-time analytics, Power BI) OR hands-on experience working with the respective products at the expert level. 3+ years of hands-on programming experience (Scala, Python, SQL etc.). Understand AI Platforms: Azure OpenAI, Azure AI Services, Azure ML.
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