Cloud Solution Architect - Data & AI
Microsoft
São Paulo, São Paulo, Brazil
há 1 dia

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 looking for a highly motivated and passionate Data & Advanced Analytics and / or Artificial Intelligence Cloud Solution Architect (CSA) to drive high priority customer initiatives on the Microsoft Azure Platform in collaboration with our customers.

This is a customer-facing role, owning overall technical relationship between customer and Microsoft Data, Advanced Analytics and Artificial Intelligence Platform.

Responsibilities

You would own the Data Platform & Advanced Analytics technical customer engagements including architectural design sessions, execution of Proof-of-Concepts (PoC) and Minimum Viable Products (MVPs), and experience leading and delivering implementing projects.

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.

Key responsibilities include :

Understand customers’ overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.

Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, Analytics and AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics technologies where appropriate SQL Server, Azure Synapse, Azure ML, Azure Cognitive Services, Azure Data Factory, Big Data, Data Lake, Azure Databricks, Power BI, etc.)

Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment

Develop deep relationships with key customer IT decision makers and relevant business decision makers (like AI or Analytics), who drive long-term cloud adoption within their company to enable them to be cloud advocates

Be a Voice of Customer to share insights and best practices, connect with Engineering team to remove key blockers

Assess the Customers' knowledge of Azure platform and overall cloud readiness to support customers through a structured learning plan and ensure its delivery through partners.

Collaborate with other Cloud Solution Architects and MS stakeholders in developing complex end-to-end Enterprise solutions on Microsoft Cloud platforms.

Maintain technical skills and knowledge, keeping up to date with market trends and competitive insights; collaborate and share with the technical community while educate customers on Azure platform

Be an Azure Platform evangelist with customers, partners and external communities.

Qualifications

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

Professional Expertise. A track record of success in consultative / complex technical sales and deployment projects, architecture, design, implementation, and / or support of highly distributed applications required

Relationship Building. Proven track record of building deep technical relationships with senior IT executives in large or highly strategic accounts.

Experience in managing various stakeholder relationships to get consensus on solution / projects. Required

Good business acumen to quickly understand the customer’s industry and business to have relevant discussions with business decision makers.

Problem Solving. Ability to solve customer problems through cloud technologies Required

Collaboration and Communication. Acknowledged for driving decisions collaboratively, 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, Database administrators and Data Scientist) Required

Technical

Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management - required

The technical aptitude and experience to learn new technologies and understand relevant cloud trend

Competitive Landscape : Knowledge of cloud development platforms

Partners : Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs - preferred

Breadth of technical experience and knowledge, with depth / SME in two or more of the following Data Analytics and AI Platform Cloud solutions - required

SQL including OSS (postgres, MySQL etc), Azure SQL

NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB

Big Data including SQL DW, Snowflake, Big Query, Redshift

Advanced Analytics including Azure Data Bricks, visualization tools as PowerBI, Tableau

Data Science

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

Education

Bachelor's degree in Computer Science, Information Technology, Engineer or related field - preferred

Certification in one or more of the following technologies preferred : Cloud, mobile, Database, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence

Experience

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

Prior solution delivery experience in Analytic and AI specialized solution providers - preferred

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