Data Architect / Domain Data Lead Engineer

Dicetek LLC; Abu Dhabi; On-site; AED 350,000 - 700,000; Full time

Job summary

Dicetek LLC is seeking a senior data architect for the banking domain. The role focuses on defining data models across customer, account, product, transaction and party domains, aligning API and event payloads to BIAN semantics.

The candidate will establish data ownership, lineage and quality controls, guide MDM integration, and apply AI-assisted data modelling and metadata discovery under governance.

Qualifications

• 12-15+ years in banking data architecture.
• Experience in a large core banking transformation.
• Knowledge of BIAN information concepts and banking domain models.
• Expertise in MDM, data governance, API payload design, event schemas and lineage.
• Experience with modern modelling, metadata, data-quality and governed AI tools.

Responsibilities

• Define customer, account, product, transaction and party data models; align API and event payloads to BIAN semantics where appropriate; establish data ownership, lineage and quality controls; define canonical and domain models; guide customer master and MDM integration; apply AI-assisted data modelling, mapping, metadata discovery and quality analysis under governance controls.
• Define customer, account, product, transaction and party data models; align API and event payloads to BIAN semantics where appropriate; establish data ownership, lineage and quality controls; define canonical and domain models; guide customer master and MDM integration; apply AI-assisted data modelling, mapping, metadata discovery and quality analysis under governance controls.

Skills

Banking data architecture

BIAN information concepts

MDM and data governance

API payload design

Event schemas and data lineage

Metadata management

Data quality

Governed AI tools

Data modelling

Job description

Skills and Experience

• 12-15+ years in banking data architecture; experience in a large core banking transformation.
• Knowledge of BIAN information concepts and banking domain models; expertise in MDM, data governance, API payload design, event schemas and lineage; experience with modern modelling, metadata, data-quality and governed AI tools.
• Define customer, account, product, transaction and party data models; align API and event payloads to BIAN semantics where appropriate; establish data ownership, lineage and quality controls; define canonical and domain models; guide customer master and MDM integration; apply AI-assisted data modelling, mapping, metadata discovery and quality analysis under governance controls.
• Define customer, account, product, transaction and party data models; align API and event payloads to BIAN semantics where appropriate; establish data ownership, lineage and quality controls; define canonical and domain models; guide customer master and MDM integration; apply AI-assisted data modelling, mapping, metadata discovery and quality analysis under governance controls.