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Data Solution Engineer Global Black Belt at Microsoft

, , United States -

Full Time

Start Date

Immediate

Expiry Date

03 Mar, 26

Salary

0.0

Posted On

03 Dec, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Azure Analytics, Azure Databricks, Purview, BigQuery, Redshift, Snowflake, Data Lake, Data Warehouse, Real-Time Analytics, Reporting, Data Security, Governance, Cloud Engagements, Technical Pre-Sales, Technical Consulting, Architecture Designs

Industry

Software Development

Description

Complex Deals Support: Engage deeply with customers to understand their complex technical needs and challenges and ensure that solutions meet their requirements and accelerate pipeline. Build win back or surround competitive strategies, aligned with the customer's goals and objectives. Expertise in Azure Analytics (Fabric, Azure Databricks, Purview) and competitor platforms (BigQuery, Redshift, Snowflake), specializing in data lake, data warehouse, real-time analytics, reporting, and integrated data security & governance. Master's Degree in Computer Science, Information Technology, or related field AND 4+ years technical pre-sales or technical consulting experience OR Bachelor's Degree in Computer Science, Information Technology, or related field AND 6+ years technical pre-sales or technical consulting experience OR 7+ years technical pre-sales or technical consulting experience OR equivalent experience. 5+ years experience leading the sales of large cloud engagements, especially those involving Cloud & AI Data projects to large/global enterprise customers 8+ years technical pre-sales, technical consulting, or technology delivery, or related experience OR equivalent experience. 6+ years experience with cloud and hybrid, or on premises infrastructures, architecture designs, migrations, industry standards, and/or technology management. Certification in relevant technologies or disciplines (e.g., Office 365, Power BI, Azure Architect and Development exams, Cloud Platform Technologies, Information Security, Architecture).

Responsibilities

Engage deeply with customers to understand their complex technical needs and challenges. Ensure that solutions meet their requirements and accelerate pipeline.