Senior Analytics Architect

Rogers   •  

Brampton, ON

11 - 15 years

Posted 296 days ago

This job is no longer available.

The Network Technology Strategy and Architecture organization is looking for a Senior Analytics Architect that has real-world experience in designing highly reliable core services within a Service Operator ecosystem.  Reporting to the Director of Technology Development Video and Analytics, the successful candidate will leverage their knowledge of their data analytics, E2E service designs, and operational experience to develop technology strategies and play a critical role in how to improve our core services on the Rogers Network.   This position requires forward thinking, strong communication skills, and collaborate with various cross-functional teams across Rogers.   Key Responsibilities

  • Provide technical leadership and requirements to improve service reliability, performance, and analytics of Rogers core services (video, voice, data, wireless).
  • Work closely with Data Scientists and peers to develop deep and complete analytics solutions for Roger core network
  • Shape desired business outcomes to appropriate mix of analytics and Big Data architectural principles
  • Evolve and improve the current data supply chain
  • Development of 1-3 year analytics strategies and roadmaps, including standards, and best practices to facilitate introduction of new technologies into the network
  • Assist in the development of the annual operating plan, forecasts, and budgets
  • Apply critical-thinking to drive towards the best customer experience possible
  • Integrates new data sources into network designs for analysis
  • Works closely with the IT/Network Architects, and cross functional teams for data architecture designs and integrations
  • Collaboration: Involves others to leverage additional knowledge or skills that lead to increased understanding.
  • Initiative: Proactively identifies present and future obstacles, issues, and opportunities. Takes actions to address such obstacles.
  • Innovation: Motivated to improve organizational performance through the introduction of new ideas, methods, processes, products, or services. Develops new ways of looking at a situation.
  • Oral and Written Communications: Ability to express oneself and communicate with others verbally ? it includes tone, style and structure and the ability to produce a variety of technical and business documents that demonstrate command of language, organization of thought and orderliness of presentation.

  Key Qualifications

  • Bachelordegree in Computer Science, Mathematics, Computer Engineering, or Masters in Machine Learning, Statistics
  • 10+ years of real-world experiencearchitecture, data analysis, and design of Big Data and is viewed as a subject matter expert 
  • Has knowledge of more than one field of data analytics or a high degree of specialization in one particular area of data engineering
  • Keeps conversant with advanced technological developments
  • Understands, advocates, and supports the integration of  networktechnology strategies
  • Originality and ingenuity are required for devising practical and economical solutions to problems
  • Detailed knowledge Data and Analyticstechnologies:
    • AWS (Kinesis, Firehose, Lambda, S3, Redshift, cloud formation, cloud watch, API Gateway etc…)
    • Hadoop (HDFS, HIVE, MapReduce, etc…)
    • Spark, NiFi, OLAP, OLTP, RDBMS, SQL, NoSQL, Tableau
    • Python, JavaScript
  • Detailed knowledge of current and next generation Data and Analytics Platforms:
    • Data Acquisition from consumer mobile, web, and STB devices.
    • Data Acquisition from internal and external service operator platforms
    • Data Delivery platforms (kinesis, kafka, spark, storm, etc.).
    • Data ETL tools (spark, storm, Hadoop, EMR).
    • Visualization tools (Microstrategy, tableau, excel).
    • Data mapping languages for data manipulation (Scala, Python, Java, R)
  • Cloud computing, virtualization, monitoring, event capturing tools, data streaming tools
  • Application Software requirements specifications, analysis and design principles.
  • Data Application Software Testing & Quality Assurance (AWS Lambda functions, SOAPUI)
  • Software Methodologies for ConvergedNetworks and Services.
  • High-level Analysis and Design Methods

Requisition ID: 116873