أدخل المسمى الوظيفي أو الكلمة الرئيسية
1185.25 Data Architect
موقع الوظيفة:
الراتب شهرياً:
لم يتم تقديمه من قبل صاحب العمل
الراتب شهرياً:
الخبرة المطلوبة:
11-20سنوات
الخبرة المطلوبة:
تم النشر:
17 سبتمبر 2026 (نُشرت قبل 2 ساعة)
تم النشر:
آخر موعد للتقديم:
15 ديسمبر 2026
آخر موعد للتقديم:
عدد الوظائف الشاغرة:
1 عدد الوظائف الشاغرة
عدد الوظائف الشاغرة:
ملخص الوظيفة
Data Architect
1 year contracted
Key Responsibilities
- Design enterprise-scale Data Big Data Analytics and AI platforms
- Architect Data Lakes Lakehouses Data Warehouses Data Marts and Big Data environments
- Design architectures supporting structured semi-structured and unstructured data
- Establish data platform standards reference architectures and best practices
- Design highly scalable batch streaming and real-time data processing ecosystems
- Define enterprise patterns for data ingestion integration transformation orchestration and delivery
- Design and govern data architectures supporting AI Machine Learning Advanced Analytics and Generative AI workloads
- Ensure enterprise data is discoverable trusted governed and consumable for AI initiatives
- Design metadata lineage cataloging and semantic layer capabilities required for AI adoption
- Establish architecture standards supporting RAG Knowledge Graphs Vector Stores AI Agents and MLOps platforms
- Define processes and controls to improve data quality and data reliability for AI model training and inference
- Collaborate with Data Science and AI teams to ensure data platforms meet AI readiness requirements
Required Skills
- 10 years of experience in Data Architecture Big Data Architecture or Enterprise Information Management
- Strong hands-on experience designing and implementing enterprise on-premises data platforms
- Proven experience designing large-scale Data Warehouses Data Lakes and Lakehouse platforms
- Experience designing Big Data environments handling high-volume and high-velocity workloads
- Experience establishing enterprise data governance and data quality frameworks
- Experience supporting AI Machine Learning and Advanced Analytics initiatives through enterprise data architecture
- Experience working with distributed processing and storage platforms
- Spark Kafka Iceberg Airflow NiFi Trino Flink HDFS Ozone MinIO Cloudera and Stackable
- PostgreSQL Oracle SQL Server and MongoDB
- Vector Databases and Knowledge Graph Platforms
- Ataccama Alation Collibra OpenLineage and Informatica
- Power BI Tableau and Superset
Required Skills:
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