国家:

中国

城市:

Beijing, Shanghai

专业领域:

Analytics

职位描述

About the role:

Support the end-to-end sales cycle including the origination of opportunities, development of proposals, and client presentations.

Lead the solutioning (might be across offers) to produce the solution strategy, technical proposal, methodology and governance, solution costing, and POC with linkages to client business objectives and desired outcomes.

Engage appropriate alliance partners in support of the solutioning 

Build customer loyalty through being a trusted advisor

Provide solution knowledge-transfer to assist in the successful hand-off to Delivery

Drive offer and asset development by partnering with Center of Excellence (CoE) and relevant stakeholders

Drive the adoption of new offerings to the local market


About you:

Experiences presales solution arch, or experiences in running large deals and RFP/RFI independently from a technology perspective is good advantage

Demonstrated experience of turning business use cases and requirements to technical solutions.The ability to apply such methods to solve business problems using one or more Azure Data and Analytics services in combination with building data pipelines, data streams, and system integration.

Experience with large scale data lake concepts, data platform, or lake house for enterprise customers.

Knowledge of Lambda and Kappa architecture patterns is a required.

Hands on experiences on Data & AI tools such as Azure Storage, Stream Analytics, CosmosDB, SQL DW, Azure Databricks, Azure Machine Learning, Azure Data Catalog, and Azure Data Factory (ADF), Blob, Azure SQL, Polybase, Delta, Engineering Pipeline Design, Azure Technical Architecture and Data Lake Design 

Hands on experiences on end to end data platform build up, including ETL, DevOps CICD, Operations, Modeling, Reporting.

Knowledge of Master Data Management (MDM) and Data Quality tools and processes

Ability to conduct data profiling, cataloging, and mapping for technical design and construction of technical data flows.

Experience with Git/TFS/VSTS is required.

Mastery of Python,Java/.Net, and Excellent SQL programing is required

Knowledge of Dev-Ops processes (including CI/CD) and Infrastructure as code fundamentals is required.

Data strategy, data governance and management, cataloguing and lineage is plus 

Visualization tools such as Power BI, Tableau and Qlik is a plus.

Azure IoT, Azure HDInsight + Spark, Azure Cosmos DB, Azure Databricks, Azure Stream Analytics is a plus. 

Experience preparing data for use in Azure Machine Learning and/or Azure Databricks is a plus. 

Advanced Analytics using technologies such as Databricks and Spark is a plus

Bachelor’s degree in Applied Mathematics, Statistics, Data Science, Computer Science, or another relevant field, or an equivalent combination of education and relevant experience


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