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Senior Big Data Architect

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Date: Feb 20, 2021

Location: ZAVENTEM, Belgium

Company: Bridgestone Europe NV/SA

Senior Big Data Architect                             

Are you inspired to contribute to and have an impact on solving real-world, Industry 4.0 problems of today and tomorrow? As a Senior Big Data Architect in Bridgestone Data & Advanced Analytics Center of Excellence (EMIA), you will work on data-driven insights, leveraging and exploring hundreds of million data points, such as Smart Factory, Supply Chain, Finance, and other strategic data initiatives.

Being a member of a cross-functional team, including data scientists, data engineers, data architects, visualization experts, you will be responsible for building up and maintaining a steady inflow of data and making sure that exploration as well as productization of data opportunities will materialize as part of our Data & Analytics Center of Exellence.

 

Key Responsibilities:

As a Big Data Architect, you will be responsible for guiding the full lifecycle of a Big Data solution, including:

  • Focus on designing and implementing Big Data Pipelines.
  • Responsible for Bridgestone Advanced Analytics Platform and solutions architecture that are built on the platform.
  • Coordinate with data users and key stakeholders within Manufacturing, across EMEA region, and develop and achieve various long term objectives for data architecture.
  • Design short term resolutions to achieve all goals and prepare data roadmap for management.
  • Determine procedure to identify and collect all required data, validate process and recommend improvements to corporate data. Validate methodologies and tools ideal for data landscape including Big Data world
  • Oversee and monitor all frameworks to manage data across organization.
  • Design and provide support to all data management methodologies according to required standards.
  • Monitor and identify appropriate equipment, tools and systems to achieve all data technology goals.
  • Administer mapping of all data sources and movement and analyze it to ensure appropriate quality of all data.
  • Coordinate with project supervisors and business heads and manages all projects regarding Manufacturing data.
  • Manage various data associate problems such as system configuration and integration on multiple platforms.
  • Provide training to manage various data and ensure enhancement in staff working.
  • Develop key metrics for tests on data and ensure integrity of same on data architecture.
  • Prepare documents for data architecture and maintain knowledge on large data structure as well.
  • Collaborate with new and existing external vendors and provide support to all objectives and assist to create various data architecture.
  • Analyze information flow and recommend appropriate technology to provide support to all business processes.

 

Key Skills:

  • 3-5 years of hands on experience across Big Data project implementations
  • Ability to articulate technology choices in addressing architecture concerns and constraints
  • Understanding of DevOps pipelines and key Agile concepts
  • Knowledge of cloud infrastructure (particularly Azure)
  • Knowledge of security design, data management, data governance, lineage and audit.
  • Can demonstrate an understanding across systems integration, information management, data management and architecture, and business analytics
  • Has deep experience with Big Data world including Azure, Hadoop distributions and application programming (Spark, MapReduce, Pig, Cascading, Hive, Impala, etc.)
  • Exposure to working in Agile projects with involvement in MVP definition, sprint planning, back-log grooming and resolving blockers on technical solutions
  • Familiar with designing high volume and fast big data solutions that have been successfully implemented into a production environment, both batch and stream processing using frameworks like Spark
  • Strong understanding of data warehouse, data lake and associated ETL and data processing concepts
  • Ability to articulate and hold solution discussion with key stakeholders Senior Enterprise Analytics Architects.
  • Hold a University degree, preferably in Computer Science/IT/Engineering or in a related field
  • Demonstrate a passion for innovation and new idea generation