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Role: Azure Data Architect (4 positions)

Job Location:  Quincy, Massachusetts

Duration:  12 months

Required Skill set:

Azure Data Engineers will be responsible for architecting transformation 
and modernization of enterprise data solutions using AZURE cloud integrating
native AZURE services and customized data technologies. 

A solid experience and understanding of considerations for large scale 
architecting, 
solutioning and operationalization of data warehouses, data
lakes and analytics platforms on AZURE is a must. We are looking for candidates 
who have a broad set of technology skills across these areas and
who can demonstrate an ability to design right solutions with appropriate 
combination 
of Azure and custom technologies for deploying on Azure cloud. 

*Responsibilities *

   - As a lead architect, work with implementation teams from concept to 
operations, 
   providing deep technical subject matter expertise for successfully 
   deploying large scale data solutions in the enterprise, usingmodern 
   data/analytics technologies on premise and cloud 
   - Create detailed target state technical, security, data and operational 
architecture 
   and design blueprints incorporating modern data technologies and cloud 
   data services demonstrating modernization value proposition 
   - Lead detail technical assessments of current state of enterprise data 
   and architect a path to transformation into a modern data powered enterprise
    


Basic Qualifications 

   - Minimum 6 months of designing, building and operationalizing large 
   scale enterprise data solutions and applications using one or more of 
   Azure data and analytics services in combination with custom solutions - 
   Spark, Azure Data Lake, HDInsights, SQL DW, DocumentDB, Search, Elastic 
   Pool etc. 
   - Minimum 6 months of hands-on experience analyzing, re-architecting and 
re-platforming 
   on-premise data warehouses to data platforms on Azure cloud using 
   Azure/custom services 
   - Minimum 6 months of designing and building production data pipelines 
   from ingestion to consumption within a hybrid big data architecture, 
   using Java,
   - Python, Scala etc. 
   - Minimum 6 months of architecting and implementing next generation data 
   and analytics platforms on Azure cloud 
   - Minimum 6 months of designing and implementing data engineering, 
   ingestion and curation functions on Azure cloud using Azure native or 
   custom programming 
   - Minimum 6 months experience in performing detail assessments of 
   current state data platforms and creating an appropriate transition path 
   to Azure cloud 
   - Hands-on Azure experience with a minimum of 1 solutions designed and 
implemented 
   at production scal*e *
   

Preferred Skills 

   - Bachelor's degree in Computer Science, Engineering, Technical Science 
   or 3+ years of technical architecture and build experience with large 
   scale solutions 
   - Minimum 6 months of experience in architecting large-scale data 
   solutions, performing architectural assessments, crafting architectural 
   options and analysis, finalizing preferred solution alternative working 
   with IT and Business stakeholders 
   - 6 months of hands-on experience designing and implementing data 
   ingestion solutions on Azure using Azure native services or using custom 
   approaches 
   - 6 months of hands-on experience architecting and designing data lakes 
   on Azure cloud serving analytics and BI application integrations 
   - 6 months of experience in designing and optimizing data models on 
   AZURE cloud using Azure data stores such as Redshift, RDS 
   - Minimum 6 months of experience integrating AZURE security services 
   with AZURE data services for building secure data solutions 
   - Minimum 6 months of experience introducing and operationalizing 
self-service 
   data preparation tools (e.g. Trifacta, Paxata) on AZURE 
   - Minimum 6 months of architecting and operating large production  
Hadoop/NoSQL 
   clusters on premise or using Cloud services 
   - Minimum 6 months architecting and implementing metadata management on 
   Azure 
   - Architecting and implementing data governance and security for data 
platforms 
   on Azure 
   - Designing operations architecture and conducting performance 
   engineering for large scale data lakes a production environment 
   - Craft and lead client design workshops and provide tradeoffs and 
recommendations 
   towards building a solutions   
   


*Best Regards,*

*Brijesh Kumar *

USA : 219-209-4155 

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