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מעל 80,000 משרות • 4,000 חדשות ביום
חינם. בלי פרסומות. בלי אותיות קטנות.

חברה בתחום הייטק / חומרה / תוכנה / סייבר

מיקום לא צוין

חברה בתחום הייטק / חומרה / תוכנה / סייבר

מיקום לא צוין
מלאה

The goal of Microsoft Technology Specialists (TS) is to win the technical decision of customers to purchase and use our technology. The TS is expected to be able to both own and win customers technical decisions and ensure their success with our platforms, as well as find new opportunities through their contacts and engagements for sales specialists to pursue. As a TS, you work within a virtual team of technical, partner and consulting resources to help educate your customers at a technical level, demonstrate, and prove our solutions, and win the technical decision, allowing the team to achieve/exceed quarterly sales targets in your accounts. Being part of this team will allow you to maintain and develop your deep technical expertise across Microsoft and non-Microsoft cloud-based technologies.

Requirements:
Required Qualifications (RQs):
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.
Partners: Experience leveraging partner solutions to solve customer needs and scale opportunities.
Proof of Concepts: Experience creating Database, Analytics, and AI Proof of Concepts (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 (PQs):
Certification in relevant technologies or disciplines
Azure Certifications:Azure Data Engineer Associate (DP 203) or 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

This position is open to all candidates.