# Platform Architect - Data Platform — RAKBANK

Canonical: https://jobxdubai.com/jobs/li-4444474582-platform-architect-data-platform
Location: Dubai, UAE
Type: full_time · Level: senior
Monthly salary: AED 42,000 to 65,000 per month (estimated, not employer-stated) (UAE salaries are tax-free)
Posted: 2026-07-23
Apply: https://www.linkedin.com/jobs/view/platform-architect-data-platform-at-rakbank-4444474582?_l=en

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## Description

Job Description

RAKBANK is looking for a highly experienced Data Platform Architect to lead the architecture, strategy, governance, and evolution of the Bank’s Enterprise Data Platform. This role is responsible for defining and governing scalable, secure, cloud-native data platforms that support analytics, AI/ML, regulatory reporting, customer intelligence, and enterprise-wide data products. You will play a critical role in shaping RAKBANK’s modern data ecosystem, driving architecture decisions across Databricks Lakehouse, Azure, Kafka, Informatica, Power BI, Data Governance, and AI-ready data foundations.

What You Will Be Doing

Enterprise Data Platform Strategy & Architecture

• Define and maintain the Enterprise Data Platform target-state architecture and roadmap.

• Establish architecture standards, principles, reusable patterns, and reference architectures.

• Ensure alignment with enterprise architecture, security, compliance, and cloud strategy.

• Lead architecture decisions supporting analytics, AI/ML, reporting, and regulatory capabilities.

Platform Ownership & Governance

• Own platform architecture standards across Databricks, Delta Lake, Azure Data Factory, Confluent Kafka, Informatica/IICS, metadata, and data quality services.

• Drive platform scalability, resilience, observability, performance, and cost optimization.

• Define engineering standards, automation frameworks, CI/CD practices, and operating models.

Data Governance, Privacy & Compliance

• Embed governance, lineage, metadata, quality, retention, access control, encryption, masking, and privacy-by-design principles.

• Ensure compliance with UAE PDPL, CBUAE regulations, internal policies, and audit requirements.

• Partner closely with Data Governance, Information Security, Risk, and Compliance teams.

Integration & Streaming Architecture

• Define enterprise integration standards for batch, real-time, and event-driven architectures using Kafka, CDC, APIs, and ETL/ELT.

• Govern integration patterns across on-premises, cloud, SaaS, and partner ecosystems.

• Eliminate non-standard point-to-point integrations and uncontrolled data movement.

AI & Advanced Analytics Enablement

• Design trusted and governed foundations for AI, Machine Learning, GenAI, and advanced analytics.

• Enable reusable data products, domain data models, and AI-ready datasets.

• Ensure responsible AI principles, including explainability, lineage, privacy, and observability.

Architecture Leadership

• Review and approve platform solution designs and technology selections.

• Present architecture proposals and exceptions to Enterprise Design Authority (EDA).

• Mentor architects and engineering teams while driving strategic technology decisions.

What We Are Looking For

• 12+ years of experience across Data Architecture, Data Platform Architecture, Solution Architecture, or Enterprise Architecture.

• Minimum 5 years leading enterprise-scale data platform transformation initiatives.

• Strong experience within Banking or Financial Services environments.

• Proven delivery of Databricks-based Lakehouse architectures and AI-enabled data platforms.

• Experience establishing enterprise data governance frameworks, standards, and architecture guardrails.

• Bachelor’s degree in computer science, Information Systems, Engineering, Data Science, or a related field.

• Master’s Degree is preferred.

• Professional Certifications (Preferred)

• Databricks Certified Data Engineer Professional

• Databricks Solution Architect

• Microsoft Azure Solutions Architect Expert

• Azure Data Engineer Associate

• TOGAF

• CDMP

Technical Expertise

• Databricks Lakehouse, Delta Lake, Spark, PySpark, Python, SQL.

• Azure Data Factory, Confluent Kafka, CDC, Event-Driven Architecture.

• Data Mesh, Data Products, Metadata Management, Data Lineage, Data Quality.

• Azure, AWS, Hybrid Cloud Architecture, Infrastructure-as-Code, DevOps, CI/CD.

• Power BI, Semantic Models, Self-Service Analytics.

• Privacy Controls, Encryption, Tokenization, RBAC/ABAC, Zero Trust Security.

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## Requirements

12+ years of experience across Data Architecture, Data Platform Architecture, Solution Architecture, or Enterprise Architecture. Minimum 5 years leading enterprise-scale data platform transformation initiatives. Strong experience within Banking or Financial Services environments. Proven delivery of Databricks-based Lakehouse architectures and AI-enabled data platforms. Experience establishing enterprise data governance frameworks, standards, and architecture guardrails. Bachelor’s degree in computer science, Information Systems, Engineering, Data Science, or a related field. Master’s Degree is preferred. Professional Certifications (Preferred) such as Databricks Certified Data Engineer Professional, Databricks Solution Architect, Microsoft Azure Solutions Architect Expert, Azure Data Engineer Associate, TOGAF, CDMP.

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