The company is seeking a highly experienced Data Platform Architect to lead the architecture, strategy, governance, and evolution of the Bank’s Enterprise Data Platform. This role involves defining and governing scalable, secure, cloud-native data platforms to 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 various technologies such as Databricks Lakehouse, Azure, Kafka, Informatica, Power BI, Data Governance, and AI-ready data foundations.
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Responsibilities:
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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 for analytics, AI/ML, reporting, and regulatory capabilities.
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Platform Ownership & Governance:
- Own platform architecture standards across multiple technologies.
- Drive platform scalability, resilience, observability, performance, and cost optimization.
- Define engineering standards, automation frameworks, CI/CD practices, and operating models.
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Data Governance, Privacy & Compliance:
- Embed governance, lineage, metadata, quality, retention, access control, encryption, and privacy principles.
- Ensure compliance with UAE PDPL, CBUAE regulations, internal policies, and audit requirements.
- Partner with Data Governance, Information Security, Risk, and Compliance teams.
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Integration & Streaming Architecture:
- Define enterprise integration standards for batch, real-time, and event-driven architectures.
- Govern integration patterns across diverse ecosystems.
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AI & Advanced Analytics Enablement:
- Design trusted foundations for AI, Machine Learning, GenAI, and advanced analytics.
- Ensure responsible AI principles including explainability and privacy.
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Architecture Leadership:
- Review and approve platform solution designs and technology selections.
- Mentor architects and engineering teams and drive strategic technology decisions.
Qualifications:
- 12+ years of experience in 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 preferred).
- Professional certifications preferred: Databricks Certified Data Engineer, Microsoft Azure Solutions Architect Expert, and others.
Technical Expertise:
- Databricks Lakehouse, Delta Lake, Spark, PySpark, Python, SQL
- Azure Data Factory, Confluent Kafka, Event-Driven Architecture
- Azure, AWS, Hybrid Cloud Architecture, Infrastructure-as-Code, DevOps, CI/CD
- Power BI, Data Quality, Metadata Management
Language Requirements: Not specified.
