1185.25 Data Architect

Tanqeeb; Abu Dhabi; On-site; AED 420,000 - 700,000; Full time

Job summary

Tanqeeb in Abu Dhabi is seeking a Data Architect to design enterprise-scale data,Big Data, Analytics and AI platforms. You will architect Data Lakes, Lakehouses, Data Warehouses and DataMarts to empower AI initiatives.

Collaborate with Data Science and AI teams to ensure data platforms meet AI readiness and governance standards while establishing metadata, lineage and semantic layers.

Qualifications

• 10+ years of experience in Data Architecture or Enterprise Information Management.
• Experience designing enterprise Data Lakes, Data Lakeshouse, Data Warehouses and DataMarts.

Responsibilities

• Design enterprise-scale data, Big Data, Analytics and AI platforms.
• Architect Data Lakes, Lakehouses, Data Warehouses and Data Marts.

Skills

Data governance

Data quality

Data architecture

AI platforms

MLOps

BigData

Data pipelines

Tools

Spark

Kafka

Airflow

NiFi

Trino

Flink

HDFS

MinIO

PostgreSQL

Oracle

MongoDB

PowerBI

Tableau

Superset

Job description

Job description

Data Architect

1+ year contracted

Key Responsibilities

• Designenterprise-scaleData,BigData,Analytics,andAIplatforms
• ArchitectDataLakes,Lakehouses,DataWarehouses,DataMarts,andBigDataenvironments
• Designarchitecturessupportingstructured,semi-structured,andunstructureddata
• Establishdataplatformstandards,referencearchitectures,andbestpractices
• Designhighlyscalablebatch,streaming,andreal-timedataprocessingecosystems
• Defineenterprisepatternsfordataingestion,integration,transformation,orchestration,and delivery
• DesignandgoverndataarchitecturessupportingAI,MachineLearning,AdvancedAnalytics,and Generative AI workloads
• Ensureenterprisedataisdiscoverable,trusted,governed,andconsumableforAIinitiatives
• Designmetadata,lineage,cataloging,andsemanticlayercapabilitiesrequiredforAIadoption
• EstablisharchitecturestandardssupportingRAG,KnowledgeGraphs,VectorStores,AIAgents, and MLOpsplatforms
• DefineprocessesandcontrolstoimprovedataqualityanddatareliabilityforAImodeltraining and inference
• CollaboratewithDataScienceandAIteamstoensuredataplatformsmeetAIreadiness requirements

Required Skills

• 10+yearsofexperienceinDataArchitecture,BigDataArchitecture,orEnterpriseInformation Management
• Stronghands-onexperiencedesigningandimplementingenterpriseon-premisesdata platforms
• Provenexperiencedesigninglarge-scaleDataWarehouses,DataLakes,andLakehouse platforms
• ExperiencedesigningBigDataenvironmentshandlinghigh-volumeandhigh-velocity workloads
• Experienceestablishingenterprisedatagovernanceanddataqualityframeworks
• ExperiencesupportingAI,MachineLearning,andAdvancedAnalyticsinitiativesthroughenterprise data architecture
• Experienceworkingwithdistributedprocessingandstorage platforms
• Spark,Kafka,Iceberg,Airflow,NiFi,Trino,Flink,HDFS,Ozone,MinIO,Cloudera,and Stackable
• PostgreSQL,Oracle,SQLServer,and MongoDB
• VectorDatabasesandKnowledgeGraphPlatforms
• Ataccama,Alation,Collibra,OpenLineage,and Informatica
• PowerBI,Tableau,and Superset