Senior Big Data Architect

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