Microsoft Corporation Data & AI Cloud Solution Architect in Las Vegas, Nevada
We are currently looking for Cloud Solution Architects to join our teams across our various business groups: Enterprise, Small Medium & Corporate, as well as Regulated Industries and our One Commercial Partner group. By applying to this role, you will be considered for multiple opportunities within Microsoft across the United States.
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.
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.
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.
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, AA/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 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
We are currently hiring across a variety of teams with various levels of skills and experiences required. Below maps the minimum required qualifications to be considered for these positions.
3+ years of success in consultative/complex technical sales and deployment projects, architecture, design, implementation, and/or support of highly distributed applications
1+ yr (s) experience in one or more of the following Data Platform Cloud solutions:
Big Data and Data Warehouses including Azure Synapse Analytics (formerly Azure SQL DW), Snowflake, GCP’s Big Query, AWS Redshift
Advanced Analytics including Azure Synapse Analytics, Azure Data Bricks, data visualization tools (i.e. PowerBI, Tableau)
Data Science and Machine Learning (i.e. TensorFlow, Azure ML, ML Server, or other similar frameworks)
Enterprise-scale technical experience with cloud and hybrid infrastructures, architecture designs, database migrations, and technology management.
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)
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)
The technical aptitude and experience to learn new technologies and understand relevant cloud trends
Competitive Landscape: Knowledge of cloud development platforms
Partners: Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs
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
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. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. 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 (https://careers.microsoft.com/us/en/accommodationrequest) .
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.
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