Data Architect

IQ Data; Abu Dhabi; On-site; AED 200,000 - 300,000; Full time

Job summary

A leading company is seeking an experienced Data Architect to design modern data platforms. The role involves defining data strategies, developing data pipelines, and ensuring best practices in data governance and security while leading initiatives that support analytics and decision-making in a rapidly evolving environment.

Benefits

Competitive benefits

Growth opportunities

Qualifications

• 7+ years of experience in data architecture or engineering.
• Hands-on experience with Microsoft Fabric, AWS, and Azure technologies.
• Familiarity with data pipelines and enterprise BI tools.

Responsibilities

• Design end-to-end modern data architectures using Azure and AWS.
• Develop robust data pipelines for ingestion and transformation.
• Define best practices for data governance and security across platforms.

Skills

Data Architecture

Microsoft Fabric

Azure Synapse

AWS Data Services

Data Governance

Data Security

Data Modeling

Data Pipeline Orchestration

Real-time Streaming

Education

Bachelor's or Master's degree in Computer Science or Data Engineering

Tools

Azure Data Factory

Databricks

Kafka

Job description

We are looking for an experienced Data Architect with a proven track record in designing and implementing modern, scalable data platforms across multiple technologies, such as Azure and AWS . The ideal candidate will have hands-on experience with Microsoft Fabric and other modern data architectures (e.g., Data Lakehouse, Delta Lake). As a Data Architect, you will be responsible for shaping data strategies, ensuring best practices in data engineering, and driving data solutions that support advanced analytics and executive decision-making.

Key Responsibilities :

• Design end-to-end modern data architectures leveraging technologies such as Microsoft Fabric, Azure Synapse, Databricks, and AWS data services .
• Develop robust data pipelines and frameworks to enable data ingestion, transformation, and consumption in a scalable and secure manner.
• Architect medallion-style data models (bronze, silver, gold layers) for structured and unstructured data to support analytics and AI use cases.
• Define and implement best practices for data modeling, data governance, and data security across the enterprise data platform.
• Evaluate and recommend the right technology stacks for modern data solutions (Lakehouse, Warehouse, Delta Lake, etc.).
• Work closely with business stakeholders, data engineers, BI developers, and AI specialists to ensure data solutions meet business requirements.
• Serve as a trusted advisor to project teams, providing strategic guidance and oversight for data architecture decisions.
• Provide mentorship and knowledge sharing within the team on best practices and new trends in data engineering and architecture.

Data Platform Enablement & Optimization :

• Drive the adoption and optimization of Data Platform and related data services, ensuring performance, reliability, and security standards are met.
• Identify data performance bottlenecks and implement scalability strategies for high-volume data scenarios.
• Support data integration initiatives, including API integrations, external data feeds, and hybrid environments.

Documentation & Standards :

• Develop and maintain comprehensive architecture documentation , including data flow diagrams, integration blueprints, and data governance policies.
• Establish and enforce data quality standards and data lineage frameworks to support enterprise data governance.

Key Skills and Qualifications :

• 7+ years of experience in data architecture, data engineering, or similar roles.
• Hands-on experience with MS Fabric (OneLake, Direct Lake, Data Factory), Azure Synapse, Databricks, and AWS data services (e.g., Redshift, Glue, S3).
• Strong knowledge of modern data platforms (Lakehouse, Medallion architecture, Delta Lake).
• Expertise in data modeling, data governance, and data security best practices .
• Familiarity with data pipeline orchestration tools (Azure Data Factory, Airflow, etc.) and real-time streaming frameworks (e.g., Kafka).
• Proven ability to work in multi-cloud environments (Azure, AWS) and to select appropriate tools based on business needs.
• Strong understanding of enterprise BI tools (e.g., Power BI, Tableau) and how they integrate with modern data platforms.
• Excellent communication skills and the ability to engage with both technical and business stakeholders .

Preferred Attributes :

• Certifications in Azure Data Engineer, AWS Data Analytics, or similar .
• Experience working on executive-level dashboards and AI-enhanced data solutions .
• Bachelors or Masters degree in Computer Science, Data Engineering, or a related field .

Remuneration :

Competitive benefits and growth opportunities in a rapidly evolving data environment.

How to Apply :

Interested candidates should send their CV and a brief cover note highlighting their Power BI experience and dashboard portfolio to [emailprotected] . We thank all applicants for their interest; only those selected for an interview will be contacted.

Architect • Abu Dhabi, United Arab Emirates