We are hiring a Data Migration Lead in Dubai for a hybrid Senior Architect role responsible for designing and guiding advanced data and analytics platforms that leverage AI, BI dashboards, Databricks capabilities, and modern user experience principles, focusing on scalable architecture, optimized data workflows, and actionable insights for stakeholders across the enterprise.
About the Role – Enterprise Data & Analytics Architecture
Core Focus: End-to-end data and analytics architecture integrating AI, BI dashboards, and Databricks components
Platform Expertise: Databricks SQL, Delta Lake, Workflows, and PySpark-based processing frameworks
Intelligent Applications: Scalable patterns using AgentBricks, Mosaic AI, and Genie Code
Data Migration Focus: Secure, resilient data pipelines supporting historical data retention and auditability
Work Model: Hybrid role balancing office collaboration with flexible remote work
🇦🇪 Dubai Enterprise Data Opportunity & Career Growth
Strategic Location: Dubai, UAE – growing hub for enterprise data platforms and AI-driven analytics
Cross-Functional Impact: Partner with IT business support teams to streamline operations and enhance reliability
Innovation Focus: Evaluate emerging AI and data engineering tools to keep architecture future-ready
Career Growth: Path toward enterprise architecture leadership in data and AI platform strategy
Position Overview
This Data Migration Lead role in Dubai is a Senior Architect position responsible for designing and maintaining end-to-end data and analytics architectures that integrate AI, BI dashboards, Genie solutions, and Databricks components. You will develop scalable patterns using AgentBricks, Mosaic AI, and Genie Code, define robust data models and query strategies in Databricks SQL, architect secure data pipelines with Delta Lake, configure Databricks Workflows for automated data migration and transformation, implement efficient PySpark processing frameworks, and collaborate with user experience stakeholders to design intuitive AI BI dashboards.
Why This Role Matters: As Data Migration Lead in Dubai, you architect secure, resilient data pipelines and migration workflows that support enterprise-wide decision-making, apply cutting-edge Databricks tools including Delta Lake, PySpark, and Databricks SQL to real business challenges, build reusable AI-powered analytics components using AgentBricks, Mosaic AI, and Genie Code, translate complex data requirements into intuitive BI dashboards that improve business adoption, and grow your career in a hybrid role that blends technical depth with cross-functional stakeholder impact.
Key Responsibilities
Data & Analytics Architecture
- Design and maintain end-to-end data and analytics architectures
- Integrate AI, BI dashboards, Genie solutions, and Databricks components
- Deliver reliable insights for enterprise decision-making
- Develop scalable patterns using AgentBricks, Mosaic AI, and Genie Code
Data Modeling & Migration Pipelines
- Define robust data models and query strategies in Databricks SQL
- Architect secure and resilient data pipelines with Delta Lake
- Support historical data retention, auditability, and trusted analytics outcomes
- Configure and orchestrate Databricks Workflows for data ingestion and migration
Performance & Processing Frameworks
- Implement efficient PySpark-based processing frameworks for large datasets
- Focus on performance tuning, resource optimization, and maintainability
- Conduct performance assessments and optimization reviews for existing workloads
- Continuously improve system efficiency across AI BI dashboards and Genie features
Stakeholder Collaboration & UX
- Collaborate with user experience stakeholders on AI BI dashboard design
- Translate complex analytical requirements into intuitive dashboard experiences
- Partner with IT business support teams to address operational pain points
- Guide teams in effective use of AgentBricks, Mosaic AI, and Genie Code
Standards, Security & Innovation
- Establish standards, best practices, and documentation for AI and BI architecture
- Evaluate new tools and techniques in the AI and data engineering ecosystem
- Coordinate with security and compliance stakeholders on data protection
- Ensure architectures adhere to organizational policies throughout the analytics lifecycle
Qualifications & Requirements
Experience Requirements
- Extensive experience architecting solutions using AI, BI dashboards, and Genie capabilities
- Proven experience in IT business support environments
- Deep hands-on expertise in Databricks SQL, Delta Lake, and Workflows
Technical Skills
- Strong proficiency with AgentBricks, Mosaic AI, and Genie Code
- Advanced PySpark skills for high-performance data processing
- Ability to handle large volumes of structured and semi-structured data
- Solid background in user experience concepts for analytics interfaces
Essential Skills
- Strong communication and collaboration abilities
- Ability to work effectively in a hybrid model with cross-functional teams
- Comfort working with distributed stakeholders across the enterprise
About the Opportunity
This Data Migration Lead role offers the chance to shape enterprise-wide data and analytics architecture in a fast-evolving AI landscape, working with Databricks, Delta Lake, PySpark, and next-generation AI BI dashboard tools including Genie and Mosaic AI. Based in Dubai with a hybrid work model, the role provides direct influence over how data flows, migrates, and gets consumed across the organization, all while collaborating closely with IT business support and user experience stakeholders.
Career Excellence: Lead enterprise data migration and AI-powered analytics architecture in a hybrid role shaping Dubai’s data-driven future.
Who Should Apply?
- Senior Data Architects: With deep Databricks, Delta Lake, and Workflows expertise
- Data Migration Specialists: With experience building secure, auditable data pipelines
- PySpark Engineers: Skilled in performance tuning for large-scale data processing
- AI/BI Dashboard Architects: With Mosaic AI and Genie Code experience
- Hybrid-Ready Professionals: Comfortable collaborating across distributed enterprise teams
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