We are looking for a highly motivated and passionate Junior Data Platform & Advanced Analytics Cloud Solution Architect to support in driving high priority customer initiatives on the Microsoft Azure Platform.
This is a customer facing role, supporting the overall technical relationship with the customer on Microsoft Data, Advanced Analytics and Artificial Intelligence Platform. You own Data Platform & Advanced Analytics technical customer engagements including architectural design sessions, specific implementation projects and/or pilots. The ideal candidate has experience in a customer-facing role and deep technical discussions with Data Engineers, Data Analysts and/or Developers to drive Data Platform and Advanced Analytics solutions to production.
Key responsibilities include:
Understand customers’ overall data estate.
Apply technical knowledge to architect solutions that meet business and IT needs. Understand Data Platform Strategies and Advanced Analytics roadmaps to ensure long term technical viability of new deployments, infusing key big data, analytics and AI technologies where appropriate (e.g. Azure Synapse, Azure Data Factory, Azure ML, ML Server, Big Data, Data Lake, Azure Databricks, etc.).
Ensure all solutions exhibit high levels of performance, security, scalability, maintainability, and appropriate reusability and reliability upon deployment.
Develop deep relationships with key customer Engineers, Analysts, and Architects to enable them to be cloud specialists.
Collaborate with Senior Cloud Solution Architects in developing complex end-to-end Enterprise solutions on Microsoft Azure platform. Share insights to remove key blockers.
Maintain technical skills and knowledge; collaborate and share with the technical community within Microsoft and customers on Azure platform.
1-5 years of professional experience
Capabilities in relationship building, problem solving, collaboration
Technical experience with cloud and/or hybrid platforms
Subject matter expertise in one or more of the following Data Platform Cloud solutions:
SQL including OSS (Postgress, MySQL etc), Azure SQL
NoSQL Databases including OSS (Maria DB, Mongo DB, etc), Cosmos DB
Big Data including SQL DW, Snowflake, Big Query, Redshift
Advanced Analytics including Azure Databricks, visualization tools as PowerBI, Tableau
Data estate workloads like HDInsight, Hadoop, Cloudera, Spark, Python
Bachelor's degree or equivalent in Computer Science, Information Technology, Engineer or similar
Certification in one or more of the following technologies: Cloud, mobile, Database, Big Data, BI, Data Science, Machine Learning, Artificial Intelligence
Demonstrated self-learner of new technologies and understands relevant cloud trends.
Competitive Landscape: Knowledge of cloud development platforms.
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.
Benefits/perks listed below may vary depending on the nature of your employment with Microsoft and the country where you work.