Job Description

Microsoft is on a mission to empower every person and every organization on the planet to achieve more. Our culture is centered on embracing a growth mindset, a theme of inspiring excellence, and encouraging teams and leaders to bring their best each day. In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us to achieve our mission.

Microsoft aspires to help our customers achieve their own digital transformation, leveraging the power of Microsoft Cloud solutions and support offerings. To this end, Microsoft invests in a dedicated Customer Success team that will help Microsoft customers successfully realize their business outcomes.

Azure is the most comprehensive, innovative and flexible cloud platform today and Microsoft is hiring professionals that will drive customer cloud adoption within the most important companies in the market.

We are always learning. Insatiably curious. We lean into uncertainty, take risks, and learn quickly from our mistakes. We build on each other’s ideas because we are better together. We stand in awe of what humans dare to achieve and are motivated every day to empower others to do more and achieve more through our technology and innovation. Together we make a difference.

To learn more about Microsoft’s mission, please visit: https://careers.microsoft.com/mission-culture

We are looking for a highly motivated and passionate Cloud Solution Architect, Data & Analytics to drive high priority customer initiatives on the Microsoft Azure Platform in collaboration with customers and the Microsoft field in Enterprise accounts segment of our business. This is a customer facing role, owning overall technical relationship between customer and Microsoft Data, Advanced Analytics and Artificial Intelligence Platform.

You will own the Data Platform & Advanced Analytics technical customer engagements including architectural design sessions, specific implementation projects and/or MVPs. The ideal candidate will have experience in customer-facing roles and success leading deep technical architecture discussions with senior customer executives, Enterprise Architects, IT Management and Developers to drive Data Platform and Advanced Analytics solutions to productions.

Responsibilities

Core Responsibilities (required):

• Coverage of key Microsoft APAC customers and data decision makers in those organizations (CDO/CTO/CIO)
• Understand customers’ overall data estate Business and IT priorities and success measures to design data solutions that drive business value
• Ensure long term technical viability and optimization of production deployments, and lead and advise on migration and modernization using key Azure Data services such as: Azure SQL Database, Azure SQL Managed Instance, SQL Server on Virtual Machines, etc
• Support customer migration efforts targeting OSSDB (PostgreSQL, MySQL, MariaDB) and NoSQL (MongoDB, Redis) workloads
• Work with multiple customers to implement POCs/MVPs, guide customers through to production deployment, operationalization, troubleshooting, and optimization of their production deployments , resolve blocker escalations, provide technical recommendations and architecture design
• Ensure customer deployments and solutions exhibit high levels of performance, security, scalability, maintainability, and reliability for new and existing deployments
• Broadly working across the entire Azure Data & AI solution space
• Identify and build technical collateral or technical assets that helps the Microsoft field accelerate Azure consumption
• Serve as the technical lead and interface between Azure field teams and Engineering, share best practices and insights to drive product improvement
• Develop deep relationships with key customer decision makers (both Business and IT) who drive long-term innovation and data platform adoption within their company to enable them to be Azure data advocates
• Be an Azure Platform evangelist with customers, partners and external communities.

Technical Expertise (required):

• 12+ years of hands-on experience with relational and NoSQL databases (both hybrid and cloud-based, Azure or equivalent) with knowledge of key differentiation to determine best fit for use cases and applications

• 7+ years working with large Enterprise customers and field communities in consulting or similar roles, leading deployment projects, architecture, design, implementation of Data or Analytics based solutions OR: 10+ years of experience in building products and services as part of Engineering teams in engineering positions (required)

• Hands on experience creating data solutions for customers that lead to production deployments, and optimization of those deployments

Breadth of technical experience and knowledge (preferred):

• Enterprise-scale technical experience and depth with the Azure data platform targeting Azure database technologies, including: Azure SQL Database, Azure SQL Managed Instance, SQL Server on Virtual Machines, Azure Cosmos DB, Azure Database for PostgreSQL/MariaDB/MySQL, Azure Redis Cache or equivalent PaaS cloud offerings

• Broad knowledge and understanding of all pillars of Data & AI – Data (RDBMS, NoSQL), Analytics, and AI/ML
• Application development skills, scripting, deployment automation

• Performance tuning and optimization
• High availability / disaster recovery
• Relational database migrations across SQL Server and OSS database technologies, modernization from on-prem to the cloud
• Experience working with structured and unstructured data in Big Data scenarios using technologies such as SQL Data Warehouse, Snowflake, Big Query, Redshift and data lake concepts
• Database architecture
• Debugging DB related issues
• Production level expertise, preferably in a services or product engineering role

General Professional Expertise:

• Problem Solving. Ability to solve customer’s data problems through various cloud technologies (required)
• Relationship Building. Proven track record of building deep technical relationships with senior executives. Experience in managing various stakeholder relationships to get consensus on solution/projects. The ability to influence and build relationships across technical and business teams (required)
• Good business acumen to quickly understand the customer’s industry and business to have relevant discussions with business decision makers.
• Collaboration and Communication. Acknowledged for driving decisions collaboratively, ability to communicate data concepts effectively with business and technical audiences, resolving conflicts and ensuring follow through with exceptional verbal and written communication skills.
• Ability to orchestrate, lead, and influence virtual teams, ensuring successful implementation of customer projects.
• Presentation skills with a high degree of comfort with both large and small audiences (Senior Executives, IT Management, Data Engineers) (required)
• Competitive Landscape: Knowledge of data platforms such as AWS, GCP, Oracle, IBM, Snowflake, etc.
• Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, Google, IBM, etc. desired
• Prior solution delivery or engineering experience

Qualifications

Microsoft is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to age, ancestry, color, family or medical care leave, gender identity or expression, genetic information, marital status, medical condition, national origin, physical or mental disability, political affiliation, protected veteran status, race, religion, sex (including pregnancy), sexual orientation, or any other characteristic protected by applicable laws, regulations and ordinances. If you need assistance and/or a reasonable accommodation due to a disability during the application or the recruiting process, please send a request via the Accommodation request form.

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