Cloud Solution Architect - Data & AI

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.

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 member that will help the largest and most important companies in the world across all industries successfully adopt Microsoft Cloud solution and services.

Responsibilities

• Understand customers’ overall data estate, business priorities and success measures to design implementation architectures and solutions.
• Maintain expert-level knowledge and skills to guide customer’s journey through Azure Data transformation.
• Apply technical knowledge to architect solutions that meet business and IT needs, Data Science and AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate (e.g. Azure ML, ML Server, BOT framework, Cognitive Services, Big Data, Data Lake, Azure Databricks, etc.).
• Ensure that solution exhibits high levels of performance, security, scalability, maintainability, appropriate reusability and reliability upon deployment.
• Develop deep relationships with key customer stakeholders and IT decision makers, 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 in developing complex end-to-end Enterprise solutions on Microsoft Azure platform,
• 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

• Experience. Minimum 2 years of experience 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
• Problem Solving. Ability to solve customer problems through cloud technologies
• 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)

• Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, data models and technology management
• Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in some of the following Data Platform Cloud solutions required:
• SQL including OSS (PostgreSQL, MySQL etc), Azure SQL
• NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB
• Big Data and Data Warehouses including Azure Analytics,
• Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, visualization tools as PowerBI, Tableau
• Data Science
• Machine Learning including Azure ML, ML Server, Python
• Artificial Intelligence including BOT framework, Cognitive Services
• Expertise in some data estate workloads like Teradata, Oracle Exadata, IBM Netezza, SAP (HANA, BW), HDInsight, Hadoop, Cloudera/Hortonworks, Apache Spark, Snowflake, MapR, AWS (Redshift, Glue), Google (BigQuery), MemSQL, MarkLogic, Qubole, Pivotal (Greenplum), Actian (Avalanche), Alibaba (MaxCompute) 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

• Bachelor’s degree in Computer Science, Information Technology, Engineering, or related field
• Certification in one or more of the following technologies required: Cloud, Data Engineering, Data Analytics, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence.
• German language is strongly preferred.

• Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon Web Services, VMware, Google, IBM, Oracle, Teradata, SAP, Cloudera/Hortonworks, Snowflake, MapR, MemSQL, MarkLogic, Qubole, Pivotal, Actian, Alibaba, desired