Azure Data
2 months ago
At Microsoft, we're committed to empowering every person and organization on the planet to achieve more. As a member of our team, you'll be part of a collaborative and innovative environment where we leverage our values of respect, integrity, and accountability to drive growth and success.
Job SummaryWe're seeking an experienced Azure Technical Specialist to join our agile and diverse team in Data Platform (Azure SQL, Azure Data Lake Gen2, Databricks, Azure Synapse Analytics, Microsoft Fabric) and AI technologies (Azure OpenAI Services, Azure Cognitive Services, Azure Machine Learning). As a Technical Specialist, you'll play a critical role in helping customers win the technical decision to purchase and use Microsoft technology and cloud services.
Responsibilities- Engage with customers proactively and independently to build credibility and establish technical wins.
- Lead technical discussions with customers and establish rules of engagement for extended teams.
- Leverage foundational knowledge of resources and proactively engage product teams to remediate blockers.
- Support partner technical capacity by identifying skill and resource gaps and providing feedback to internal teams.
- Capture core competitive knowledge and deliver back to product and engineering teams to enhance team capabilities.
- 5+ years technical pre-sales or technical consulting experience.
- OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience.
- OR Master's Degree in Computer Science, Information Technology, or related field AND 3+ years technical pre-sales or technical consulting experience.
- 4+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management.
- 4+ years experience in 3 or more of the following Data Platform Cloud solutions:
- Big Data and Data Warehouses including Azure Synapse Analytics (formerly Azure SQL DW), Snowflake, Big Query, Redshift.
- Advanced Analytics including Azure Data Bricks, data visualization tools (i.e. PowerBI, Tableau).
- SQL including OSS (postgres, MySQL etc), Azure SQL.
- NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB.
- Machine Learning including Azure ML, ML Server Artificial Intelligence including BOT framework, Cognitive Services, Cognitive Search.
- Industry leading healthcare.
- Educational resources.
- Discounts on products and services.
- Savings and investments.
- Maternity and paternity leave.
- Generous time away.
- Giving programs.
- Opportunities to network and connect.
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