The company 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 the company’s modern data ecosystem, driving architecture decisions across Databricks Lakehouse, Azure, Kafka, Informatica, Power BI, Data Governance, and AI-ready data foundations.
Ready to apply for roles like this?
Unlock the company name and direct application link. Subscribers get instant access to fresh jobs across Dubai, Abu Dhabi and Riyadh, many with visa support.
Unlock employer & apply directly
Responsibilities
- 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.
- 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.
- Define enterprise integration standards for batch, real-time, and event-driven architectures using Kafka, CDC, APIs, and ETL/ELT.
- Design trusted and governed foundations for AI, Machine Learning, GenAI, and advanced analytics.
- Review and approve platform solution designs and technology selections.
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.
- 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.
