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Microsoft SR Cloud Solution Architect - Bilingual
United States, West Virginia
955804546

17.12.2024

Required Qualifications:

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, 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

o OR equivalent experience.

Business level fluency to read, write and speak Spanish

Preferred Qualifications:

Bachelor's Degree in Computer Science, Information Technology, Engineering, Business, 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

o OR Master's Degree in Computer Science, Information Technology, Engineering, Business, or related field AND 6+ years experience in cloud/infrastructure technologies, technology solutions, practice development, architecture, and/or consulting

o 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
Business level fluency to read, write and speak Portuguese
Extensive experience with data (concepts, architecture, management, security, governance
Practical knowledge of hybrid cloud architectures for integrating on-premises workloads with cloud resources
Hands on experience building cloud solutions, from POC to Production

Certain roles may be eligible for benefits and other compensation. Find additional benefits and pay information here:

Responsibilities

Role Summary:

Develops and expands impactful relationships with customer and partner architects, technical specialists, decision makers, and business stakeholders.
Guides team members to ensure a seamless and connected customer experience through partner learnings.
Identifies, anticipates, and resolves technical blockers to accelerate consumption and solution implementations.
Uses knowledge of Microsoft and competitor offerings to identify growth opportunities and drive conversations with customers/partners.

Responsibilities:

Customer-Centric Approach:

Understand customers overall data estate, business priorities, and IT success measures.
Innovate with Data and AI solutions that drive business value.
Ensure Solution Excellence: Deliver solutions with high performance, security, scalability, maintainability, repeatability, reusability, and reliability upon deployment. Gather insights from customers and partners.
Facilitate scalable delivery through strong technical program management utilizing a factory model/approach; driving program awareness and demand across the regional areas.

Business Impact:

Drive Consumption Growth: Develop opportunities to enhance Customer Success and help customers extract value from their Microsoft investments.
Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers. Follow best practices and utilize repeatable IP.
Build repeatable IP and assets that create velocity in deployment and drives customer value from their investments. Continuously look to improve upon these assets utilizing the best of field inputs.
Architect Data and AI Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create innovation with Data and AI roadmaps, lead and build POCs and MVPs, and ensure long-term technical viability.

Technical Leadership:

Advocate for Customers: Share insights and best practices, collaborate with the Engineering team to address key blockers, and influence product improvements, roadmap and feature prioritization.
Continuous Learning: Stay updated on market trends, collaborate with the Data and AI technical communities, and educate customers about the Azure Data and AI platforms.
Accelerate Outcomes: Along with field teams, share expertise, contribute to IP creation, and promote reusability to accelerate customer success, as well as collate feedback on assets to drive improvement and leverage field teams inputs.