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Big Data Solutions Architect

Toronto, Canada

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Job ID R60277 Date posted Apr. 19, 2019

Big Data Solutions Architect

Solutions Architect will have the ability to lead architectural efforts for any customer, regardless of size and scope. As part of an enterprise planning team, the Big Data Solutions Architect possesses the knowledge of business requirements as well as an understanding of the many disciplines that make up modern Big Data architectures with hands on experience.

Role Responsibilities:

  • Provide thought leadership as a senior member of the technical staff in the Big Data and Analytics group.
  • Work and collaborate with other members of cross-functional teams and business groups on company-wide data intelligence programs.  Act as a subject matter expert on Big Data, business intelligence & advanced analytics within the company.
  • Directly contribute to development of Big Data architecture standards that are important to Dell EMC. Exercise considerable latitude in determining technical objectives, without appreciable direction.
  • Write functional detailed design specifications as well as responding to requirement documents and system level plans. Significant contributor to organizational goals and objectives.
  • Lead design, architecture and building of data analytics solutions.  Create proposed data design changes/suggestions to processes, exert significant latitude in determining objectives of an assignment.
  • Independently represent data intelligence and analytics programs, their relevance and expectations to senior staff. Collaborate with leaders from cross-functional teams and business groups that have an affinity to data intelligence.


Experience architecting, building and administering large-scale distributed applications using Hadoop.

Must Have

  • System Admin experience (RedHat 6 and RedHat 7)
  • Experience with RedHat Satellite Server
  • Experience with Ansible, Ansible Tower, Salt Stack
  • Experience with Hadoop Administration and Configuration
  • Hands on experience with Kafka, Spark, Ranger, Sentry, Hive, Hbase, Yarn
  • 7-10 years relevant professional experience / Bachelor’s degree (technical degree); or professional equivalence.
  • Experience with Virtualized, Cloud environment

Good to Have

  • Scripting using Python, shell etc.
  • Experience with managing configuring CISCO servers, Networking, Firewalls (Paloalto/ Panoroma)
  • Experience working in DataCenter
  • Experience with programming/scripting, statistical analysis, database, ETL and programming languages like /R used in predictive analytics. Expert skills in data visualization and design.
  • Industry certifications in Big Data, data intelligence & analytics, data science, data governance.
  • Spring boot

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