The Azure Big Data Architect role drives high priority customer initiatives, leveraging Azure data services to solve the biggest and most complex data challenges faced by customers.

The Big Data Architect own’s the Azure Data Services technical architecture: data architecture design sessions, implementation projects and/or Proofs of Concepts. The ideal candidate will have experience in customer facing roles and success leading deep technical architecture and design discussions with senior executives.

Experience Required

• 5+ years of experience with deep understanding in both traditional and modern data architecture and processing concepts, including relational databases (e.g., SQL Server, MySQL, Oracle), Data warehousing, big data (Hadoop, Spark, Storm), noSQL, and business analytics

• 5+ years of success in consultative/complex technical deployment projects

• Understanding of big data use-cases and Hadoop-based design patterns Knowledge of real time/stream analytics trends

• 5+ years of architecture, design, implementation, and/or support of complex application architectures (i.e. having an architectural sense for connecting data sources, data visualization, structured and unstructured data, etc.)

• Working knowledge with AGILE development, SCRUM and Application Lifecycle Management

• Demonstrable hands on experience implementing Big Data solutions using Microsoft Data Platform and Azure Data Services - Preferred

• Operationalizing end-to-end cloud analytics solutions – Preferred

• Create a data factory, orchestrate data processing activities in a data-driven workflow, monitor and manage the data factory, move, transform, and analyze data - Preferred

• Create and manage experiments, determine when to pre-process or train inside Machine Learning Studio, select input/output types, apply custom processing steps with R and Python, publish web services - Preferred

• Design big data real-time processing solutions - Preferred

• Ingest data for real-time processing, design and provision compute resources, design for lambda architecture, design for real-time processing - Preferred

• Designing big data batch processing and interactive solutions - Preferred

• Prior work experience in a DBA/Consulting/Architecture position within a software and/or services company - Preferred

Technical Requirements:

• Proficient with Azure cloud computing including big data technologies.

• Azure SQL DB/DW, HD Insight, Azure Data Lake Storage, Azure Data Lake Analytics, Azure Machine Learning, Stream Analytics, Azure Data Factory, and CosmosDB.

• Desired certifications and accreditations preferably one or more of below or comparable:

  • Microsoft Azure Designing and Implementing Big Data Analytics Solutions (70-475)

  • Microsoft Azure Designing and Implementing Cloud Data Platform Solutions (70-473)

  • Microsoft Professional Program Certificate in Data Science

• Data technology literate with a detailed understanding of data architecture and data tools and technologies, in particular in memory/in database and open source technology.

• Knowledge and/or experience in one of the following;

  • C#, R, Python, SQL, PL/SQL, MDX, JSON, XML, .NET, C++, T-SQL, Java, JSON, PHP

  • Hadoop (Hortonworks or Cloudera), Spark, Storm, Pig/Hive

  • NoSQL, DocumentDb, MongoDB

  • PL/SQL Developer, SQL Query Analyzer, R Studio, PowerBI, Tableau, Visual Studio, TFS, Azure DevOps

• Hortonworks (Associate, HDPCD) - Preferred

• Experience of hybrid and/or cloud architectures that utilize Azure – Preferred

• Experience of advanced data analytics and insights techniques (eg, predictive, segmentation, recommendation and sentiment analytics, machine learning techniques and leveraging structured and unstructured data) - Preferred

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