Head Data & AI Architect (Google Stack)
Doha, Doha Municipality, Qatar · Tam zamanlı
Başvuran ilk kişi siz olun
- Deneyim
- 5+ yıl
- Maaş
- —
- Açılışlar
- 1
- Yayınlandı
- 5 saat önce
- Çalışma modu
- Ofiste
- Uygunluk
- Candidates must be qualified to work in Qatar with a valid QID or proven eligibility. Arabic language proficiency is compulsory.
- Sürdürmek
- Başvuru yapılması gerekmektedir.
Çalışacağınız yer
İş tanımı
Position Overview
Seeking an experienced Data & AI Architect well-versed in Google technologies to join our team in Doha, Qatar. The ideal candidate must be fluent in Arabic and possess over 5 years of relevant expertise. This on-site role requires a strong background in enterprise data architecture and AI implementations within the Google stack environment.
Key Responsibilities
- Analyze and compare datasets between SAP S/4HANA and SuccessFactors platforms.
- Architect and deploy comprehensive enterprise solutions encompassing Data, AI, and Analytics frameworks.
- Maintain strict governance standards including security, compliance, high availability, and disaster recovery protocols.
- Lead efforts in data engineering, system optimization, and seamless data integrations.
- Pioneer initiatives involving Generative AI, Large Language Models (LLMs), AI agents, and machine learning implementations.
- Design scalable data storage solutions such as data lakes, warehouses, and data processing pipelines.
- Engage collaboratively with Google specialists on dashboard development and AI tool adoption.
Essential Skills
- Expertise in requirement gathering tailored to data and AI projects.
- Proficiency with BI tools and dashboard creation, notably Looker.
- Hands-on experience working with BigQuery.
- Familiarity with Vertex AI Studio for AI modeling and deployment.
- Knowledge of Apigee and SAP integration is advantageous.
Additional Information
- Location: Doha, Qatar (Onsite attendance mandatory)
- Eligibility: Must possess a QID or be eligible to work in Qatar.
- Required Language: Arabic (mandatory)
- Minimum Experience: 5+ years in relevant roles.