Principal Enterprise Data & AI Architect

Job Description: Principal Enterprise Data & AI Architect Experience: 18+ Years Focus: Data Modernization, AI Architecture & Azure Migration Geography: UAE / Hybrid Location: Dubai Notice Period: Immediate joiners to 15 days • Enterprise Architecture Strategy: Define and standardize modern enterprise data and AI architectures utilizing Azure Data Platform, Databricks, Snowflake, and Microsoft Fabric. • Lakehouse & MDM Frameworks: Design high-scale Data Lakehouse, Data Mesh, and Master Data Management (MDM) architectures with centralized data lineage and cataloguing. • Data Modelling & Mapping: Analyse complex legacy source and target data models, entity relationships, and schema evolutions for large-scale cloud migrations. • High-Throughput ETL/ELT Engineering: Architect fault-tolerant, streaming, and batch ETL/ELT data pipelines for multi-platform data extraction, transformation, and ingestion into Azure. • GenAI & ML Platform Integration: Architect scalable Generative AI ecosystems (LLM integration, RAG pipelines, agentic workflows, vector search) and MLOps platforms with unified governance. • Quality, Profiling & Reconciliation: Implement automated data profiling, cleansing routines, rule-based validation, and multi-tier reconciliation frameworks to guarantee zero data loss. • Data Governance, Security & UAE Compliance: Enforce fine-grained security (RBAC/ABAC, encryption, Microsoft Purview) ensuring strict adherence to UAE data protection laws and regulatory compliance. • Cutover Planning & Migration Lifecycle: Orchestrate end-to-end migration runbooks, cutover execution, rollback strategies, and operational handovers across application and QA teams. • Performance Tuning & Troubleshooting: Resolve distributed compute bottlenecks and optimize Spark, SQL, and storage performance across petabyte-scale workloads. • Executive Advisory & UAE Client Management: Serve as the trusted technical authority and strategic advisor for UAE enterprise clients, leading C-suite presentations and steering committee reviews. • Cross-Functional Delivery Leadership: Lead cross-functional engineering squads, aligning business objectives, data governance councils, and migration sprint deliverables. • Core Qualifications: 18+ years in Data Architecture & Engineering with proven delivery of large-scale enterprise Azure migrations; relevant certifications (Azure Solutions Architect / Databricks / Snowflake) highly preferred. Show more Show less

18+ years in Data Architecture & Engineering with proven delivery of large-scale enterprise Azure migrations; relevant certifications (Azure Solutions Architect / Databricks / Snowflake) highly preferred.