T Hub - Data Architect
technologies-expected :
- Python
- ML
- AI/ML
- AWS
- Data Lakes
- Data Ingestion
- AI
technologies-optional :
- Java
- Scala
- Azure
- GCP
responsibilities :
- Define and evolve architecture guardrails to ensure alignment with our Group Data Architecture principles and standards.
- Develop solution design blueprints (design patterns) for various data components including Data Lakes, Data Ingestion pipelines, Catalogs, and MLOps pipelines.
- Collaborate with OpCos to understand existing data landscapes and identify opportunities for standardization and consolidation.
- Lead the design and implementation of scalable and resilient data solutions that meet business requirements while adhering to architectural guidelines.
- Provide technical leadership and mentorship to data engineering teams across OpCos, fostering a culture of collaboration and knowledge sharing.
- Stay abreast of industry trends and emerging technologies in Data Architecture, MLOps, AIOps, and AI/ML Architecture, and assess their potential impact on our data strategy.
requirements-expected :
- Proven experience (5+ years) in Data Architecture, Data Engineering, or related roles within large-scale organizations, preferably in the telecommunications or technology sector.
- Deep understanding of modern data technologies and platforms including but not limited to Data Lakes, Data Warehouses, Data Ingestion tools, Metadata Management solutions, and MLOps pipelines.
- Experience with AI/ML technologies and frameworks, and understanding of AI/ML Architecture principles.
- Certification in relevant technologies (e. g. , AWS, Microsoft Azure, Google GCP, …).
- Previous experience in international or multi-cultural environments, with the ability to work effectively across geographically dispersed teams.
- Strong analytical and problem-solving skills, with a proactive and results-oriented mindset.
- Background in TelCo networks, network elements and infrastructure
- Experience / best practices in design and implementation of data architecture in large enterprises
offered :
- Employment contract
- Additional day off on the occasion of birthdays/namedays
- Medical package and life insurance
- Benefit platform - you choose what you benefit from
- Access to training platforms to improve your knowledge
- I know Talent - training or money for referring friends to work !
- Besides, with us you can count on access to our products and services at preferential terms and benefits, which you will read about below
benefits :
- sharing the costs of sports activities
- private medical care
- sharing the costs of foreign language classes
- sharing the costs of professional training & courses
- life insurance
- flexible working time
- corporate products and services at discounted prices
- integration events
- mobile phone available for private use
- no dress code
- parking space for employees
- extra social benefits
- sharing the costs of tickets to the movies, theater
- holiday funds
- birthday celebration
- sharing the costs of a streaming platform subscription
- employee referral program
- charity initiatives
- extra leave
- Benefit Platform
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