Platform Architect

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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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.

• 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

• 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.