Solution Architect – Data & AI

Lobo Management; Dubai; On-site; AED 300,000 - 460,000; Full time

Job summary

Lobo Management is seeking an experienced Solution Architect – Data & AI in Dubai to lead the design and delivery of Azure-based data platforms and AI initiatives across the enterprise.

The role focuses on translating complex business requirements into scalable, secure architectures, leveraging Azure Data Lake, Databricks, Snowflake and open-source tools, while ensuring governance, security, and operational excellence.

Qualifications

• Minimum 8 years of total experience, with at least 2 years of Data/AI Solution architecture roles.
• Proven experience designing and delivering enterprise-scale Azure Data Platform solutions using Azure Data Lake Storage, Azure Data Factory, Azure Databricks and Microsoft Fabric.
• Experience designing data lakehouse architectures, optimizing large-scale analytics solutions and leveraging modern data engineering technologies such as Snowpark, dbt, Airflow and Terraform.
• Expertise in CI/CD with Azure DevOps, GitHub Actions, Terraform, Docker and Kubernetes.
• Strong understanding of Python, SQL and Scala and experience with API/microservice-based data integration.
• Proven client-facing and advisory consulting experience with strong analytical, communication, presentation and stakeholder management skills.
• Experience designing AI/ML solutions across the lifecycle, including data preparation, model deployment, monitoring, governance and MLOps practices.
• Experience with Generative AI architectures, including Large Language Models (LLMs), Azure OpenAI, AI agents, Retrieval-Augmented Generation (RAG), vector databases, and AI governance frameworks.
• Familiarity with AI and data engineering technologies such as Spark, Delta Lake, Kafka, Airflow, dbt etc.

Responsibilities

• Design end-to-end enterprise Data & AI architectures covering data ingestion, transformation, storage, analytics, AI and machine learning.
• Build scalable, cloud-native ecosystems using Azure, Snowflake and open-source frameworks (Spark, Airflow, Kafka)
• Develop AI/ML platforms incorporating MLOps, monitoring, responsible AI principles.
• Define enterprise architecture blueprints, data models, integration patterns and governance frameworks aligned with business and compliance requirements.
• Design and provision enterprise Azure Data Platforms with a focus on scalability, performance and resilience.
• Establish enterprise data security, privacy, governance and compliance frameworks.
• Design logging, monitoring, observability and alerting solutions to ensure platform reliability and operational excellence.
• Lead architecture reviews, technical workshops and design governance.
• Provide technical leadership and mentorship to Data Engineering, Analytics and AI teams.
• Establish architecture principles, engineering standards and reusable solution patterns.
• Evaluate and recommend emerging technologies for enterprise solutions.
• Translate business requirements into scalable data-driven solutions.
• Advise on data strategy, architecture roadmaps and AI adoption frameworks.
• Support pre-sales activities, solution demonstrations, RFP responses and executive-level presentations.
• Build strong relationships with business and technology stakeholders.
• Ensure architecture integrity throughout the solution lifecycle from design through production deployment.
• Define best practices, reusable assets and mentoring frameworks for internal teams.
• Collaborate with cross-functional teams to deliver secure, scalable and business-aligned data platform solutions.

Skills

Azure Data Platforms

Data & AI

End-to-end architecture

Cloud-native design

Stakeholder management

Python

SQL

Scala

Education

Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, Artificial Intelligence or related technical discipline

Tools

Azure DevOps

GitHub Actions

Terraform

Docker

Kubernetes

Spark

Airflow

Kafka

Snowflake

dbt

Job description

Our client is seeking an experienced Solution Architect – Data & AI with strong expertise in Azure Data Platforms to lead the architecture, design, and delivery of modern enterprise technology solutions.

The Solution Architect will be responsible for designing end-to-end technology solutions that address complex business requirements and defining the overall Azure architecture and network design.

The ideal candidate will have the ability to translate business requirements into scalable, secure, and high-performing solutions. The role will also involve establishing the required architecture, connectivity, security, and integration frameworks to support enterprise-wide data platforms and AI initiatives.

Key Responsibilities

• Design end-to-end enterprise Data & AI architectures covering data ingestion, transformation, storage, analytics, AI and machine learning.
• Build scalable, cloud-native ecosystems using Azure, Snowflake and open-source frameworks (Spark, Airflow, Kafka)
• Develop AI/ML platforms incorporating MLOps, monitoring, responsible AI principles.
• Define enterprise architecture blueprints, data models, integration patterns and governance frameworks aligned with business and compliance requirements.
• Design and provision enterprise Azure Data Platforms with a focus on scalability, performance and resilience.
• Establish enterprise data security, privacy, governance and compliance frameworks.
• Design logging, monitoring, observability and alerting solutions to ensure platform reliability and operational excellence.

Technical Leadership

• Lead architecture reviews, technical workshops and design governance.
• Provide technical leadership and mentorship to Data Engineering, Analytics and AI teams.
• Establish architecture principles, engineering standards and reusable solution patterns.
• Evaluate and recommend emerging technologies for enterprise solutions.

Client Consulting & Stakeholder Engagement

• Translate business requirements into scalable data-driven solutions.
• Advise on data strategy, architecture roadmaps and AI adoption frameworks.
• Support pre-sales activities, solution demonstrations, RFP responses and executive-level presentations.
• Build strong relationships with business and technology stakeholders.

Delivery & Governance

• Ensure architecture integrity throughout the solution lifecycle from design through production deployment.
• Define best practices, reusable assets and mentoring frameworks for internal teams.
• Collaborate with cross-functional teams to deliver secure, scalable and business-aligned data platform solutions.

Qualifications & Experience

• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Technology, Artificial Intelligence or a related technical discipline.
• Minimum 8 years of total experience, with at least 2 years of experience in Data/AI Solution architecture roles.
• Proven experience designing and delivering enterprise-scale Azure Data Platform solutions using Azure Data Lake Storage, Azure Data Factory, Azure Databricks and Microsoft Fabric.
• Experience designing data lakehouse architectures, optimizing large-scale analytics solutions and leveraging modern data engineering technologies such as Snowpark, dbt, Airflow and Terraform.
• Expertise in CI/CD with Azure DevOps, GitHub Actions, Terraform, Docker and Kubernetes.
• Strong understanding of Python, SQL and Scala and experience with API/microservice-based data integration.
• Proven client-facing and advisory consulting experience with strong analytical, communication, presentation and stakeholder management skills.
• Experience designing AI/ML solutions across the lifecycle, including data preparation, model deployment, monitoring, governance and MLOps practices.
• Experience with Generative AI architectures, including Large Language Models (LLMs), Azure OpenAI, AI agents, Retrieval-Augmented Generation (RAG), vector databases, and AI governance frameworks.
• Familiarity with AI and data engineering technologies such as Spark, Delta Lake, Kafka, Airflow, dbt etc.

Preferred certifications include:

• Microsoft Certified: Azure Solutions Architect Expert
• Snowflake Advanced Architect Certification