Data Architect – AI/ML

The Data Architect – AI/ML will own the end-to-end architecture of enterprise data platforms that support advanced analytics and machine learning. You will define how data is ingested, stored, transformed, modelled and served, and how ML models move from experimentation to production. The role combines hands-on technical depth with architectural leadership and regular engagement with business and technical stakeholders.

Key Responsibilities

• Design scalable, secure and cost-efficient data architectures on AWS (Glue, Redshift and related services) for analytics and ML workloads
• Define data models, pipelines and integration patterns for structured and unstructured data
• Architect ML lifecycle workflows: feature engineering, training, validation, deployment, monitoring and retraining
• Lead the development of predictive analytics solutions using Python/R, TensorFlow or PyTorch
• Build and optimize large-scale data processing jobs using Spark, SQL, Pandas, NumPy and SciPy
• Establish data governance, quality, lineage and security standards, including alignment with regional regulatory requirements (e.g. UAE data protection rules)
• Create dashboards and data visualization layers that turn model outputs into business insight
• Set engineering standards for version control, code review and CI/CD (Git-based workflows)
• Mentor data engineers and data scientists, and review designs and code
• Translate business requirements into technical roadmaps and present architecture decisions to senior stakeholders
• Evaluate new tools, frameworks and cloud services and recommend adoption where they add value

Required Skills and Qualifications

• 10-15 years of experience in data architecture, data engineering or advanced analytics, with at least 3-4 years in AI/ML-focused solutions
• Strong programming skills in Python and/or R
• Hands-on experience with Machine Learning and Predictive Analytics
• Proficiency with Pandas, NumPy and SciPy
• Deep experience with AWS Glue and Amazon Redshift
• Advanced SQL and experience with Apache Spark
• Practical experience with TensorFlow and/or PyTorch
• Experience with data visualization tools (e.g. Tableau, Power BI, QuickSight, or Python libraries)
• Proficiency with Git and collaborative development practices
• Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Statistics or a related field

Preferred Qualifications

• AWS certifications (Solutions Architect, Data Analytics or Machine Learning Specialty)
• Experience with MLOps tooling (e.g. SageMaker, MLflow, Airflow)
• Exposure to generative AI / LLM-based solutions
• Experience delivering projects in the GCC or MENA region
• Consulting or client-facing delivery experience

Soft Skills

• Clear communication with both technical and non-technical stakeholders
• Structured problem solving and sound architectural judgment
• Ability to lead, mentor and work independently in a remote or distributed setup
• Fluency in English