Cloud Solution Architect - Data Analytics

Cloud Solution Architect - Data Analytics at Microsoft

With more than 45,000 employees and partners worldwide, the Customer Experience and Success (CE&S) organization at Microsoft is on a mission to empower customers to accelerate business value through differentiated customer experiences that leverage Microsoft’s products and services, ignited by our people and culture. We drive cross-company alignment and execution, ensuring that we consistently exceed customers’ expectations in every interaction, whether in-product, digital, or human-centered. CE&S is responsible for all up services across the company, including consulting, customer success, and support across Microsoft’s portfolio of solutions and products. Join CE&S and help us accelerate AI transformation for our customers and the world.

Support for Mission Critical is a specialized team within Microsoft providing solution-specific expertise designed to drive peak health and optimum performance of a customer’s most important solutions. As a key technical resource, the Cloud Solution Architect - Data Analytics will primarily focus on delivering proactive services such as education workshops, conducting assessments, and providing tailored guidance. Strong troubleshooting skills are essential as this role involves working with Microsoft Support to expedite incident resolution.

Do you have a passion for Data and Analytics with a focus on cloud 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 data analytics related technologies? Do you want to join one of Microsoft's fastest growing businesses? If so, we are looking for you!

Microsoft’s mission is to empower every person and every organization on the planet to achieve more. As employees we come together with a growth mindset, innovate to empower others and collaborate to realize our shared goals. Each day we build on our values of respect, integrity, and accountability to create a culture of inclusion where everyone can thrive at work and beyond.

Responsibilities

• Plan and deliver proactive and reactive support including onsite presence as needed (post Covid restrictions).
• 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 platforms to improve the health, performance, and availability.
• Drive and participate in proactive delivery management, spot performance issues, analyze problems, and provide solutions to meet customer needs.
• Work with support teams, account teams, product engineering teams and other stakeholders to ensure a streamlined customer experience.
• Apply lessons learned for continuous process and delivery improvement for the customer.
• 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

Required/Minimum Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 4+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.

Other Requirements

• This position is not eligible for visa sponsorship. Candidates must have authorization to work in the United States that does not now or in the future require employer sponsorship.

Additional or Preferred Qualifications

• Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 8+ years experience in cloud/infrastructure technologies, information technology (IT) consulting/support, systems administration, network operations, software development/support, technology solutions, practice development, architecture, and/or consulting OR Master's Degree in Computer Science, Information Technology, Engineering, Business, Liberal Arts, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting OR equivalent experience.
• 4+ years experience working in a customer-facing role (e.g., internal and/or external).
• 4+ years experience working on technical projects.
• Technical Certification in Cloud (e.g., Azure, Amazon Web Services, Google, security certifications).
• Technical depth in one of the following Data Analytics and AI Platform Cloud solutions:
  • 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
• Presentation skills with a high degree of comfort presenting to a variety of audiences.
• 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.
• Certification in Microsoft and other Cloud Technologies.

Key skills/competency

• Cloud Architecture
• Data Analytics
• Azure Data Services
• Big Data Platforms
• Machine Learning
• AI Solutions
• Customer Relationship Management
• Technical Consulting
• Troubleshooting
• Proactive Support