Solutions Architect
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Key skills for this role
Role Overview
The client is seeking an experienced, hands-on Solution Architect specializing in Data and AI.
The role leads the architecture, design, and delivery of advanced Data and AI solutions for enterprise clients.
The position combines technical leadership, strategic consulting, and solution design to deliver measurable business value.
Key Skills for This Role
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Company and Opportunity
Hamley Hires LLP is a recruitment solutions provider connecting talent with businesses across diverse industries.
The client is a global AI, data analytics, and digital transformation consulting company serving enterprise clients across industries.
Role Overview
The client is seeking an experienced, hands-on Solution Architect specializing in Data and AI.
The role leads the architecture, design, and delivery of advanced Data and AI solutions for enterprise clients.
The position combines technical leadership, strategic consulting, and solution design to deliver measurable business value.
Role Facts and Qualifications
- The role is full-time and permanent in Abu Dhabi, UAE.
- At least 8 years of experience is specified.
- A bachelor's or master's degree in computer science, data engineering, information technology, engineering, or a related field is required.
- Advanced degrees or certifications such as TOGAF or cloud certifications are advantageous.
- Knowledge of cloud platforms and enterprise architecture patterns is required.
- Strong problem-solving, communication, collaboration, and client-facing presentation abilities are required.
Solution Design and Architecture
- Design end-to-end data and AI architectures across ingestion, transformation, storage, analytics, and machine learning layers.
- Build scalable, cloud-native ecosystems using Azure, Snowflake, and open-source frameworks such as Spark, Airflow, and Kafka.
- Define architecture blueprints, data models, and governance-aligned integration patterns.
- Implement AI and machine learning platforms with MLOps, monitoring, and responsible AI principles.
Technical Leadership
- Drive modern data engineering practices including CI/CD, infrastructure as code, and DevOps.
- Evaluate and recommend emerging technologies for enterprise solutions.
Client Consulting and Engagement
- Translate business needs into scalable, data-driven solutions.
- Support pre-sales activities, requests for proposals, and executive-level presentations.
- Advise clients on data strategy, architecture roadmaps, and AI adoption frameworks.
Delivery and Governance
- Ensure architectural integrity, scalability, and compliance with data privacy standards.
- Define best practices, reusable assets, and mentoring frameworks for internal teams.
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