Cloud Solution Architect
Microsoft
Madrid, Madrid, Spain
hace 5 días

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.

Growth mindset encourages each of us to lean in and learn what matters most to our customers, to create the foundational knowledge that enables us to make customer-first decisions in everything we do.

In doing so, we create life-changing innovations that impact billions of lives around the world. You can help us achieve our mission.

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 Platform & Advanced Analytics / Artificial Intelligence Cloud Solution Architect 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

  • Understand customers’ overall data estate, IT and business priorities and success measures to design implementation architectures and solutions.
  • Maintain expert-level knowledge and skills to guide customer’s journey through Analytics-led Azure Data transformation.
  • Apply technical knowledge to architect solutions that meet business and IT needs, create Data Platform, AA / AI roadmaps, and ensure long term technical viability of new deployments, infusing key analytics and AI technologies where appropriate 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 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

  • 2-4 years of success in consultative / complex technical sales and deployment projects, architecture, design, implementation, and / or support of highly distributed applications
  • 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.

  • Ability to solve customer problems through cloud technologies
  • 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)

  • Spanish and English fluency required
  • Technical

  • Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.
  • Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform Cloud solution : SQL including OSS (PostgreSQL, MySQL etc), Azure SQLNoSQL Databases including OSS (Maria, Mongo etc), Cosmos DBBig Data and Data Warehouses including Azure Synapse Analytics (formerly Azure SQL DW), Snowflake, GCP’s Big Query, AWS RedshiftAdvanced Analytics including Azure Synapse Analytics, Azure Data Bricks, visualization tools as PowerBI, TableauData GovernanceData ScienceMachine Learning including Azure ML, ML Server, PythonArtificial Intelligence including BOT framework, Cognitive Services
  • Expertise in two or more 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)
  • The technical aptitude and experience to learn new technologies and understand relevant cloud trend
  • Education

  • Bachelor's degree in Computer Science, Information Technology, Engineer or related field is preferred
  • Certification in one or more of the following technologies preferred : Cloud, mobile, Database, Data Engineering, Data Analytics, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence
  • Experiences

    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 is desired.

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