23 hours ago
United Arab Emirates (city not specified)Staff+
Responsibilities
- Define and maintain the enterprise data platform target-state architecture, roadmap, standards, reusable patterns, and reference architectures.
- Lead architecture decisions supporting analytics, AI/ML, regulatory reporting, customer intelligence, and enterprise data products.
- Own architecture standards across Databricks, Delta Lake, Azure Data Factory, Confluent Kafka, Informatica/IICS, metadata, and data quality services.
- Drive platform scalability, resilience, observability, performance, cost optimization, automation, CI/CD practices, and operating models.
- Embed data governance, lineage, metadata, quality, retention, access control, encryption, masking, privacy, and compliance controls.
- Define enterprise standards for batch, real-time, event-driven, CDC, API, and ETL/ELT integrations across on-premises, cloud, SaaS, and partner ecosystems.
- Design governed and reusable data foundations, domain data models, data products, and AI-ready datasets for machine learning, GenAI, and advanced analytics.
- Review and approve platform solution designs and technology selections, present proposals and exceptions to the Enterprise Design Authority, and mentor architects and engineering teams.
Requirements
- 12+ years of experience across data architecture, data platform architecture, solution architecture, or enterprise architecture.
- At least 5 years leading enterprise-scale data platform transformation initiatives.
- Strong experience in 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.
- Preferred certifications include Databricks Certified Data Engineer Professional, Databricks Solution Architect, Microsoft Azure Solutions Architect Expert, Azure Data Engineer Associate, TOGAF, and CDMP.
- Strong technical expertise in 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, and Zero Trust Security.
Tech Stack
Categories
Data Engineering
