Senior Customer Engineer

Do you have a passion for Big Data and using best-in-class tools created by Microsoft? Are you looking for a role where you can interact directly with large enterprise customers to improve their Big Data related technologies? Do you want to join one of Microsoft's fastest growing businesses? If so, we are looking for you

Support for Mission Critical is a team within Microsoft that provides solution-specific expertise designed to drive peak health and optimum performance of a customer’s most important solutions. As a key technical resource for the customer, you will be primarily focused on delivering proactive services such as education workshops, delivering assessments, and providing tailored guidance. Troubleshooting skills are essential as this role will include working with Microsoft Support to expedite incident resolution.

**Responsibilities**:

- Plan and deliver proactive and reactive support.
- Drive and participate in proactive delivery management, spot performance issues, analyze problems, and provide solutions to meet customer needs.
- Work within a larger virtual account team to strengthen customer relationships and work on mobile-first, cloud-first strategies for immediate and long-term service delivery plans.
- Identify and manage goals and opportunities across Big Data platform to improve the health, performance, and availability.
- Work with support teams, account teams, product engineering teams and other stakeholders to ensure a streamlined customer experience.
Engage in meetings with customers and account teams to articulate service offerings.
- Share and gain knowledge through communities.
- Contribute to on-call rotations to ensure a high quality of service for critical incidents created by Support for Mission Critical customers.

**Qualifications**:
5+ years of related experience with more than one of the following areas:

- Designing and supporting solutions using technologies such as:

- Azure Data Factory
- Azure Data Lake
- HD Insights
- Azure Synapse Analytics
- Azure Data Bricks
- CosmosDB
- Azure Stream Analytics
- Azure Machine Learning Service
- Technical depth in one of the following Data Analytics and AI Platform Cloud solutions:

- SQL including OSS (Postgre SQL, My SQL, etc.), Azure SQL
- NoSQL Databases including OSS (Maria, Mongo etc), CosmosDB
- Big Data including Azure Synapse, Snowflake, Big Query, Redshift
- Machine Learning including Azure ML, ML Server
- Artificial Intelligence including BOT framework, Cognitive Services, Cognitive Search
- Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python

**Preferred Qualifications**:
One or more of the following core skills certifications:

- Microsoft Certified: Azure Data Engineer Associate
- Microsoft Certified: Azure Database Administrator Associate
- Microsoft Certified: Azure AI Engineer Associate
- Microsoft Certified: Data Analyst Associate

**Other Qualifications**
- Experience in systems deployment, network operations, or IT consulting.
- Working experience with Microsoft Cloud based solutions in large enterprise environments.
- Ability to handle customer critical issues and work in difficult situations.
- Demonstrate a strong ability to develop strategic ongoing customer relationships to gain the trust and respect of customers.
- Excellent customer service skills, good oral and written communication skills, proven ability to handle difficult and sensitive situations involving the most critical and politically charged customer situations, lead projects and motivate others.
- Presentation skills with a high degree of comfort presenting to a variety of audiences.

Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.