Nokia AVA Big Data Architect

Location: Europe

Date: 17-Oct-2017


Reference: IPC115



Nokia is a global leader in the technologies that connect people and things. With state-of-the-art software, hardware and services for any type of network, Nokia is uniquely positioned to help communication service providers, governments, and large enterprises deliver on the promise of 5G, the Cloud and the Internet of Things.  

Serving customers in over 100 countries, our research scientists and engineers continue to invent and accelerate new technologies that will increasingly transform the way people and things communicate and connect. 


Nokia is undertaking a large-scale service analytics and big data platform initiative called ‘Nokia AVA’ and serving thousands to tens of thousands of internal and external users.  This platform will enable Nokia and its customers to build the next generation of services for telecommunications and beyond, including transport, connected health and broader IOT.  You will be joining a very dynamic and growing team of talented individuals, setting up state-of-the-art solutions for outstanding customer experience. 


Main Purpose 

The AVA Big Data Architect will select the appropriate solutions to some of the most difficult Big Data problems in the telecoms world. Using the most innovative Analytics tools (from Hadoop/Spark to ElasticSearch, Kafka, Machine Learning with R, Hive/Thrift, Business Intelligence tools and much more), they will be a key contributor to teams developing sophisticated algorithms, working closely with end-customers to solve real world problems. 

The role includes designing, developing, and deploying end-to-end data pipelines for processing large data sets, working with Big Data tools and frameworks across data storage, extraction, normalization, validation, statistical modeling, machine learning, and visualization. 

This role also includes assessing and defining tactical and strategic opportunities to enable our stakeholders to achieve new business capabilities using both Big Data and traditional tools and technologies. 


Accountable for:   

  • Providing sound strategic and tactical advice to the AVA organisation on the selection and implementation of the most appropriate big data technologies 


Responsible for: 

  • Contribution to creating, documenting and communicating the overall AVA technical architecture, strategy and roadmap 
  • Acting as the authority and an (technology) evangelist on current and best practice big data technologies within the Global Services and AVA organization 
  • Leading and consulting with stakeholders throughout the full lifecycle implementation of customer solutions built on the AVA platform, providing solution designs 
  • Work with 3rd party software and service providers in making ‘make vs buy’ decisions and the subsequent integration activities 




Applicants will need to demonstrate substantial knowledge and experience of: 

  • Designing successful bespoke big data analytics solutions on cloud environments such as Amazon Web Services, Microsoft Azure and/or IBM Bluemix 
  • Modern real-time and batch processing data architectures 
  • Hadoop/Spark based distributed storage and computing frameworks 
  • The Big Data ecosystem including solutions from one or more of Cloudera, Hortonworks, IBM, MapR 



  • Master's Degree in a related field and relevant experience and/ or equivalent experience 
  • Cloud Certification such as AWS, Microsoft Azure, IBM Bluemix 


Further requirements: 


Minimum 7-8 years’ experience in IT, management and/or business related functions  

Strong industry knowledge including products and services on Nokia’s core business as well as adjacent areas (e.g. Telco IT, applications, big data analytics) 

Business orientation and good understanding of Nokia organization and processes 

Previous experience in Automation, IT or Business Development is a distinct advantage. 

Ability to drive and guide service projects, strong negotiation skills 

Sound methodical skills with attention to detail and process requirements. 

Ability to lead without formal power and line authority. Excellent presentation, networking and communication skills (especially in a multicultural environment). High energy, initiative, enthusiasm and persistence. 1-2 additional languages are favorable.  

Agile learner and recognized expert with ability to promote the benefits of the Analytics program 

Comfortable with working with multiple stakeholders in a multi-cultural environment of a global matrix organization with sensitivity a    

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