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Enterprise Data Architecture & Data Platform

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Onsite

Enterprise Data Architecture & Data Platform

Seikor Group

Enterprise Data Architecture & Data Platform

Skills

Data EngineeringData AnalysisAICompliance

2 months ago

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Important information


Contract type:

Permanent

Work mode:

Onsite

Published on:

4 September 2026

What they need


We are looking for a highly experienced Enterprise Data Architecture & Platform Lead for an enterprise-wide data transformation initiative with a leading Middle Eastern bank.

This is a hands-on senior SME role, covering strategy, architecture, implementation, and adoption.

KEY RESPONSIBILITIES

  • Lead enterprise data architecture and target-state architecture
    • Define data architecture principles, patterns, standards, and technical designs
    • Lead enterprise and domain-level banking data modelling
    • Drive data discovery, profiling, metadata, lineage, mapping, and data quality
    • Define ETL/ELT, CDC, API, batch, streaming, and event-driven integration patterns
    • Define enterprise data platform capabilities across ingestion, storage, processing, governance, security, and consumption
    • Support reporting, analytics, self-service, advanced analytics, and AI requirements
    • Provide technical direction to data architects, engineers, and analysts

MANDATORY BANKING EXPERIENCE

Strong knowledge of:

  • Customer & Party
    • Accounts & Deposits
    • Loans & Lending
    • Cards
    • Payments
    • Transactions
    • Products & Pricing
    • GL & Financial Data
    • Risk & Compliance
    • KYC & AML
    • Master & Reference Data

REQUIRED EXPERIENCE

  • 12+ years in Enterprise Data Architecture, Data Engineering, Data Platforms, or related disciplines
    • Minimum 5 years of direct Banking / Financial Services data experience
    • Senior experience as an Enterprise Data Architect, Senior Data Architect, Data Platform Lead, Data Transformation Lead, or equivalent
    • Enterprise data modernization/transformation experience from architecture through implementation
    • Strong enterprise data modelling, data engineering, and modern data platform experience
    • Experience working with senior business and technology stakeholders in regulated environments

TECHNICAL KNOWLEDGE

Data Architecture | Data Modelling | Data Warehouse | ODS | Data Lake/Lakehouse | Medallion Architecture | ETL/ELT | CDC | APIs | Streaming | Metadata | Lineage | Data Quality | MDM | BI & Analytics | AI Data Requirements | Cloud/On-prem/Hybrid

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