Job Details
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Job Description
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
Job Requirements
- 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
- 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
- Breadth of technical experience and knowledge, with depth / Subject Matter Expertise in two or more of the following Data Platform Cloud solutions required:
- SQL including OSS (postgre, 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 Governance
- Data Science
- Machine Learning including Azure ML, ML Server
- Artificial Intelligence including BOT framework, Cognitive Services
- Expertise in data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python required
- The technical aptitude and experience to learn new technologies and understand relevant cloud trend required
- Competitive Landscape: Knowledge of cloud development platforms preferred
- Partners: Understanding of partner ecosystems and the ability to leverage partner solutions to solve customer needs preferred
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
Experiences:
Prior work experience in a Consulting/Architecture position within a software and/or services company such as Amazon, VMware, Google, IBM, Oracle desired
