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Data & AI Architect

Microsoft
Cairo, Egypt
Posted 4 years ago
47People have clicked1 open position
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Job Details

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Job Description

Life as an Architect in Data & AI is one of a continuing strive for excellence. From pre-sales activities in envisioning workshops and designing target state architectures, through to delivery and helping customers realise the business value of those designs. We shape what can be – not what has been.

A typical working day involves working with clients – either on-site or remotely. During any given day, we can go from conversing on the most modern Artificial Intelligence use-cases, to detailed data modelling discussions.

We can be found acting as trusted advisors to our clients (internally and externally), promoting our company and domain brands, whilst also writing Architecture design documents, providing inputs to Statements of Work and estimates. We are expected to bring thought leadership, innovation, technical governance and also ensure risk mitigation.

What kinds of goals do we have:

Ultimately to ensure Microsoft becomes our clients premier partner for digital transformation to the cloud and intelligent edge, leading with our data & AI path to value.

What do we love about our role?

Variety – working with multiple customers on bleeding edge projects.

Relevancy – being at the coal face on the hottest topic in the technology business.

Trust – ability to shape engagements and freedom to do what we feel is the optimal option.

Job Requirements

Desirable Have:

End-to-end Microsoft BI & Data stack: SQL Server, Azure SQL DB, Azure DW, Azure ML, Analytics Platform Server, HD Insight, Stream Insight, SharePoint BI, PowerPivot, PowerView, Excel
ETL technologies: at least one of the following: SSIS, Talend, Pentaho, Informatica, etc
Data Science and Analytical tools, languages, or libraries: SAS, SPSS, R, Mahout, MatLab)

In absence of MSFT skills above, can have:

Big Data stack: Spark, Hadoop, Sqoop, Pig, Hive, Hbase, Flume, Kafka, Storm
High-scale or distributed RDBMS (PDW, RedShift, Teradata, Netezza, Greenplum, Aster Data, Vertica, Object based storage, MemSQL, MongoDB, Cassandra)
Knowledge of cloud computing infrastructure (e.g. Azure, Amazon Web Services EC2,Google cloud platform) and considerations for scalability ,availability and security in distributed systems

Evidence of:
External speaking – conferences, linkedin articles, blogs/whitepapers, patents.

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