Cloud Solution Architect

Austin, TX, United States

Microsoft envisions a world where passionate innovators come to collaborate, envisioning what can be and taking their careers places they

simply couldn’t anywhere else. This is a world of more possibility, more innovation, more openness, and sky’s-the-limit thinking – a cloud-

enabled world.

Our mission is to empower every person and every organization on the planet to achieve more. This mission is ambitious and at the core of

what our customers and employees care deeply about. We have unique capability in harmonizing the needs of both individuals and

organizations. We deeply care about taking our ideals and vision global and making a difference in lives and organizations in all corners of the


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.

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Microsoft aspires to help our customers achieve their own digital transformation, leveraging the power of Microsoft Cloud solutions and

services. To this end, Microsoft is investing in a dedicated Customer Success team that will help Microsoft customers successfully adopt

Microsoft Cloud solution and services.

We are looking for a Cloud Solution Architect for Advanced Analytics & AI to drive high priority customer initiatives on the Microsoft Data

Platform in collaboration with customers and the Microsoft field. This is a customer facing role, responsible for providing end-to-end

technical guidance and expertise on the Microsoft Data Platform (Azure and on-premises).


This role will own the Advanced Analytics and AI technical customer engagement including: architectural design sessions, specific

implementation projects and/or Proofs of Concepts. The ideal candidate will have experience in customer facing roles and success leading

deep technical architecture discussions with senior customer executives to drive cloud deployment. Key responsibilities include:

* Drive the deployment of customer workloads onto Azure Data Services and machine learning to increase their consumption of the

Microsoft Data Platform by providing deployment guidance, supporting development of the customers’ cloud adoption model, and

providing appropriate recommendations to overcome blockers.

* Develop deep relationships with key customer decision makers, who drive long-term data platform adoption within their company. You

will also identify, validate and grow opportunities to accelerate deployment and consumption in your assigned customer accounts, in

partnership with the sales team, by driving solution architecture for both Microsoft and 3rd party solutions.

* Lead deployment of projects, creation of collateral, and training of sellers and partners in your area of specialization.

* Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights.

* Coach other technical sellers to become certified in the required Advanced Analytics and AI technical certifications.


Experiences Required: Education, Key Experiences, Skills and Knowledge:

* Deep understanding of data platform technologies, big data (Hadoop, Cloudera, etc.), Microsoft BI technologies, advanced analytics tools,

and emerging computing trends

* Proven track record of building deep technical relationships with senior executives and growing data platform share in large or highly

strategic accounts

* Proven track record of driving decisions collaboratively, resolving conflicts and ensuring follow through with exceptional verbal and

written communication

* 3-5 years of success in complex technical roles including sales deployment projects (where necessary, managing various stakeholder

relationships to get consensus on solution/projects)

* 1+ years of design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting

data sources, data visualization, structured and unstructured data, etc.)

* Deep technical experience in one or more of the following areas: Database architecture, Big Data, Machine Learning, Business

Intelligence, Advanced Analytics, Data Mining, ETL

* Leadership experience on major transformation projects and successful transitions to implementation support teams

* Presentation skills with a high degree of comfort with both large and small audiences

* Prior work experience in a Consulting/Architecture position within a software and/or services company


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