Cloud Solution Architecture at Microsoft

, , Singapore -

Full Time

Start Date

Immediate

Expiry Date

17 Feb, 26

Salary

0.0

Posted On

19 Nov, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Cloud Technologies, Data Analytics, Azure, Technical Leadership, Customer Satisfaction, Problem Solving, Relationship Building, Business Intelligence, Data Warehousing, AI, ETL, Big Data, Presentation Skills, Collaboration, Security, Architecture Design

Industry

Software Development

Description

Customer-Centric Approach: Identify customers' goals for migrating to Azure, and ensure the program provides Data & Analytics solutions that deliver business value. Customer Satisfaction - Drive positive Customer Satisfaction & become a trusted advisor. Solicit feedback and understand their experiences with the service delivered. Ensure that solution exhibits high levels of performance, security, scalability, maintainability, repeatability, appropriate reusability, and reliability upon deployment. Customer/Partner Insights - Provide feedback & insights from customers/partners. Unblock Customer Challenges: Leverage subject matter expertise to identify resolutions for customer blockers. Identify the opportunities to develop repeatable IPs and integrate with Cloud Accelerate Factory. Architect modern Data & Analytics Solutions: Apply technical knowledge to design solutions aligned with business and IT needs. Create modernized Data & Analytics platform solutions with infused AI, lead 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 drive product improvements. Continuous Learning: Stay updated on market trends, collaborate with the Data, Analytics and AI technical community, and educate customers about the Azure platform. Accelerate Outcomes: Share expertise, contribute to IP creation, and promote reusability to accelerate customer success. Technical Leadership Be the Voice of Customer to share insights and best practices, connect with the delivery team to remove key blockers and drive improvements. Learn It All - Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the Data & AI technical community while educating customers on Azure platform. Accelerate customer outcomes - Share expertise, contribute to IP creation & re-use to accelerate customer outcomes. Drive delivery teams to address customer expectations by providing work around and helping customers solve their technical issues as quickly as possible. Effectively orchestrate and bridge the delivery through cross-functional teams, providing operational guidance to the delivery teams. Ability to orchestrate, lead, and influence virtual teams, ensuring successful acceleration and unfreezing of customer projects. Collaboration and Communication: Acknowledged for driving decisions collaboratively, ability to communicate Analytics and AI concepts effectively with business and technical audiences, resolving conflicts and ensuring follow-through with exceptional verbal and written communication skills. Relationship Building: Proven track record of building deep technical relationships with key stakeholders. The ability to influence and build relationships across technical and business teams. Good business acumen to quickly understand the customer's industry and business to have relevant discussions with business decision makers. Good understanding of key Data and AI scenarios that are driving innovation in key industries such as financial services, Retail, Healthcare etc. Problem Solving: Ability to solve customer's Data problems through various cloud technologies. Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT Management, Architects, Engineers) - 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 - Business Value: The ability to convey the business needs and value of proposed solutions, plans, and risks to stakeholders and decision makers. This includes the ability to persuade and inform based on facts and alignment with goals and strategy. - Trusted Advisership: The ability to build trusted advisor status and deep relationships across stakeholders (e.g., technical decision makers, business decision makers) through an understanding of customer needs and technologies. - Situational fluency: Using self-awareness as a mechanism to interpret verbal and non-verbal cues to increase your ability to ""read the room."" - Insightful listening: asking insightful questions to understand the customer's needs, issues, business environment and drivers, and going beyond what the customer has said. - Technical - Breadth of technical experience and knowledge in foundational security, foundational AI, architecture design, with depth / Subject Matter Expertise in one or more of the following: - Knowledge of Business Intelligence, design and build of Advanced Analytics and Big Data solutions, hands-on experience with data warehousing, Lakehouse architecture, Real time Intelligence, big data, analytics workloads (Azure or equivalent), semantic model development with knowledge of key differentiation to determine best fit for use cases and applications - Experience creating Data & Analytics Proof of Concepts (PoC), Minimum Viable Products (MVPs) for customers that lead to production deployments. - Experience in shipping PySpark enabled data pipelines. Understanding batch, streaming ETL/ELT processing. - Preferred experience/understanding on data lake house, data mesh architectural principles. This position will be open for a minimum of 5 days, with applications accepted on an ongoing basis until the position is filled. *

Responsibilities

Identify customers' goals for migrating to Azure and ensure the program provides Data & Analytics solutions that deliver business value. Architect modern Data & Analytics solutions, advocate for customers, and drive product improvements while collaborating with cross-functional teams.