Overview
Data Solution Architect Jobs in Dubai, United Arab Emirates at RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
Title: Data Solution Architect
Company: RiDiK (a Subsidiary of CLPS. Nasdaq: CLPS)
Location: Dubai, United Arab Emirates
Data solution Architect
Perm Role:
Work Location : Dubai
Role Summary:
The Data Solution Architect plays a pivotal role in designing and delivering secure, scalable, and citizen-centric data architecture solutions that aligns with the overall Enterprise Architecture needs and vision. This role ensures that data platforms, analytics capabilities, and AI/ML integrations are aligned with core digital strategies, regulatory frameworks, and analytics delivery goals. The architect will work across departments to enable data-driven governance, operational efficiency, and enhanced citizen experiences.
Key Responsibilities:
Strategic Architecture & Planning
• Develop and maintain enterprise data architecture aligned with digital transformation initiatives.
• Define data strategies and solutions that support services like citizen services, data transformation and modernization programs
• Define AI strategies for Data and AI led Digital transformation initiatives which include Agentic solutions
• Define Data and AI governance strategies, operating models, rules and processes
• Ensure compliance with national data protection laws and governance models.
Solution Design & Delivery
• Architect data platforms (data lakes/lakehouses, batch and real-time ingestion, processing and analytics) for various use cases supporting descriptive, predictive and prescriptive analytics
• Architect secure end to end data pipelines for ingestion, transformation, and consumption across enterprise entities.
• Integrate AI/ML capabilities for enterprise analytics use cases including Agentic capabilities, LLMOps, AI engineering and ML Engineering
• Define and document data models (conceptual, logical, physical), dimensional modeling, metadata standards, and lineage tracking for auditability and transparency.
• Implement modern Data Architecture patterns like Data Mesh and Data Fabric and have experience in Ontology or Semantic modeling.
Governance & Compliance
• Establish data governance frameworks including stewardship, quality, classification, and retention policies.
• Collaborate with data compliance teams to ensure data architecture supports audit, and compliance requirements.
• Design data solutions that implement access control, encryption, and identity federation and data security principles.
Stakeholder Engagement
• Lead cross-functional workshops with government departments, IT teams, and external partners to gather requirements and present solution designs.
• Translate enterprise objectives into technical specifications and data capabilities.
• Create and present Data and AI Strategy and Roadmap to key stakeholders.
• Support procurement and vendor evaluation for data platforms and analytics tools.
Experience and Skills
• 15+ years of experience in data solution architecture and data strategy definition in regulated environments.
• Proven experience designing and implementing data platforms and data management solutions in government, or other large enterprises.
• Hands-on Architecture and implementation experience with cloud data platforms (Azure, AWS, GCP, Snowflake etc.), data integration tools, and analytics frameworks.
• Hands-on Architecture and implementation experience with Databricks, Delta lake, Apache Iceberg Lakehouse solutions
• Hands on experience in Data Modeling with schema patterns like STAR, Snowflake and Data Vault modeling patterns
• Hands on experience in implementing Data Quality using Data Quality tools on Azure Databricks
• Architecture definition experience involving designing of batch based and event driven (real time) data integration and management.
• Experience with secure data handling, compliance and governance
• Experience in defining and implementing AI/ML architecture working with LLMs, Agentic solutions involving Lang family, MCP, Prompt Engineering, Context Engineering, Harness Engineering and AI evals.
• Excellent communication and stakeholder management skills,
Key Competencies
• Strategic Thinking & EA Alignment
• Data strategy and Architecture
• Cloud Data Architecture definition and implementation
• AI/ML Architecture definition and implementation covering GenAI and Agentic solutions.
• Technical Leadership in Regulated Environments