Seikor Group
Enterprise Data Architecture & Data Platform
Skills
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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