Platform Engineering Data Technical Lead

Contract duration 6 months with a potential extension Engagement Type Full-time Start date August 2026 Location Abu Dhabi on-site

Role Overview We are seeking an experienced Platform Engineering amp Data Technical Lead to serve as the onshore technical authority for an enterprise transformation program implementing a process orchestration platform an enterprise data platform and an integration roadmap across core business streams The role owns the end-to-end technical solution helps define the target architecture and engineering standards provides technical oversight of the incumbent data platform vendor and leads the design and delivery of the data foundation and AI-enabled capabilities The role directs offshore engineering platform data and QA teams and is accountable for solution quality technical risk and production readiness through go-live and stabilization This is a hands‑on leadership role requiring both architectural understanding and personal technical depth

Key Responsibilities

• Act as the senior technical interface to client stakeholders the incumbent data platform vendor and parallel initiatives
• Own the end-to-end technical solution across orchestration and data workstreams ensuring architectural coherence across all components
• Architecture and Engineering Standards Help define architecture components across infrastructure security RBAC data etc
• Make and document key technology decisions surface technical risks and dependencies through governance forums
• Establish and enforce engineering standards - CI CD pipelines code review gates quality controls etc
• Enterprise Data Platform Help assess existing data platform readiness against orchestration requirements and identify gaps
• Provide technical oversight of the incumbent vendor s platform implementation
• Define the target data model key business entities and source-to-target mappings
• Oversee build of ingestion pipelines and transformation logic for structured and unstructured data
• Establish data quality validation and reconciliation controls to support go-live readiness
• AI Capabilities Define the technical approach for AI capabilities embedded within workflows
• Lead extraction and accuracy tuning of unstructured data to support smart features
• Implement evaluation criteria human-in-the-loop patterns and guardrails for security and cost control
• Orchestration Platform Delivery Assurance and Go-Live Provide technical assurance over orchestration platform setup and integration
• Oversee sprint planning testing cycles defect triage and release readiness
• Own technical go-live sign-off including cutover and rollback planning
• Lead and mentor offshore engineering platform data and QA teams
• Lead hypercare stabilization operations documentation and knowledge transfer

Required Experience and Qualifications

• Prior experience at management consulting firms and or Big Tech is an advantage
• Client-serving experience is an advantage 10 years across enterprise technology delivery combining solution architecture platform engineering and data engineering
• Technical lead experience on multi-workstream programs spanning application and data domains
• Strong hands‑on experience with modern cloud data platforms Databricks preferred - Lakehouse architecture data modeling and pipeline design
• Experience onboarding structured and unstructured data including document extraction and accuracy tuning
• Practical experience delivering AI LLM-enabled capabilities within enterprise applications or workflows
• Strong cloud platform experience Azure preferred - IaC environment design RBAC CI CD and monitoring
• Working knowledge of process orchestration concepts BPMN human-in-the-loop workflows and enterprise integration patterns
• Ability to translate technical decisions into business outcomes for senior stakeholders
• Relevant certifications in cloud architecture data platforms or AI engineering

Preferred Experience and Qualifications

• Experience delivering enterprise orchestration automation or data platform programs in asset-intensive sectors such as marine logistics energy or industrial operations
• Experience leading offshore teams and providing technical assurance over vendor deliverables
• Exposure to Camunda 8 or comparable process orchestration platforms
• Experience with data governance capabilities such as Unity Catalog Delta Lake or Microsoft Purview
• Experience defining target architectures technology roadmaps and technical business cases for large transformation programs
• Prior experience at management consulting firms and/or Big Tech is an advantage
• Client-serving experience is an advantage 10+ years across enterprise technology delivery, combining solution architecture, platform engineering, and data engineering
• Technical lead experience on multi-workstream programs spanning application and data domains
• Strong hands‑on experience with modern cloud data platforms (Databricks preferred) - Lakehouse architecture, data modeling, and pipeline design
• Experience onboarding structured and unstructured data, including document extraction and accuracy tuning
• Practical experience delivering AI/LLM-enabled capabilities within enterprise applications or workflows
• Strong cloud platform experience (Azure preferred) - IaC, environment design, RBAC, CI/CD, and monitoring
• Working knowledge of process orchestration concepts (BPMN, human-in-the-loop workflows) and enterprise integration patterns
• Ability to translate technical decisions into business outcomes for senior stakeholders
• Relevant certifications in cloud architecture, data platforms, or AI engineering
• Experience delivering enterprise orchestration, automation, or data platform programs in asset-intensive sectors such as marine, logistics, energy, or industrial operations
• Experience leading offshore teams and providing technical assurance over vendor deliverables
• Exposure to Camunda 8 or comparable process orchestration platforms
• Experience with data governance capabilities such as Unity Catalog, Delta Lake, or Microsoft Purview
• Experience defining target architectures, technology roadmaps, and technical business cases for large transformation programs