Data Platforms role

Consultz; Abu Dhabi; On-site; AED 120,000 - 200,000; Full time

Job summary

A leading consultancy firm in Abu Dhabi is seeking an experienced Data Platforms professional to architect and deliver advanced data initiatives. The ideal candidate will possess over 12 years in data architecture and a deep understanding of data governance and analytics. Responsibilities include leading teams, managing data pipelines, and ensuring compliance with best practices. This role offers the opportunity to influence data-driven decision-making and innovate within a modern data platform environment.

Qualifications

• 12+ years of progressive experience in data architecture and analytics.
• 5+ years designing and managing enterprise data platforms.
• Proven experience leading technical teams.

Responsibilities

• Architect and deliver scalable data platforms.
• Define and enforce data modeling standards.
• Lead integration of diverse enterprise systems.
• Oversee design and implementation of data pipelines.
• Manage data migration and cleansing initiatives.

Skills

Advanced proficiency in SQL

Python

Data modeling methodologies

Microsoft Fabric

Azure Data Lake

Power BI

Education

Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering

Tools

Azure services

Data orchestration tools

Metadata management tools

Job description

Abu Dhabi, United Arab Emirates | Posted on 01/06/2026

Consultz is supporting our client, a well renowned SWF in the region in their search for a highly skilled Data Platforms professional to lead the design, development, and delivery of enterprise-wide data initiatives. This role is responsible for architect and owning modern data platforms that enable advanced analytics, AI use cases, and data-driven investment decision-making.

The successful candidate will work closely with business and technical stakeholders—including data owners, data stewards, engineers, analysts, and visualization teams—to define data flows, requirements, catalogs, dictionaries, and lineage. This role combines deep technical expertise with architectural leadership and strategic problem-solving to deliver measurable business value through data and AI.

Key Accountabilities

• Architect and deliver scalable, enterprise-grade data platforms leveraging modern technologies such as Microsoft Fabric, Azure Data Lake, and Power BI.
• Lead end-to-end solution design across ingestion, transformation, storage, and consumption layers.
• Define and enforce data modeling standards, metadata management practices, and lineage frameworks.
• Translate business requirements into technical architectures and guide engineering teams through implementation.
• Design and establish an Enterprise Data Agent Platform, ensuring structured data access, governance, and permissions.
• Oversee the design and implementation of robust data pipelines for ingestion, transformation, and loading.
• Lead integration of diverse enterprise systems, including ERP, CRM, and AI/ML platforms.
• Ensure data accuracy, consistency, and reliability across all data sources.
• Manage data migration, integration, cleansing, and archiving initiatives.

Data Governance, Quality & Security

• Develop and implement enterprise data governance frameworks, standards, and best practices.
• Ensure data quality, security, and regulatory compliance through validation, monitoring, encryption, masking, and access controls aligned with Cyber, InfoSec, and Compliance policies.
• Monitor and report on governance KPIs, data quality metrics, platform usage, and value realization.
• Champion enterprise-wide data standardization and harmonization initiatives.
• Evaluate and integrate emerging AI technologies to enhance business outcomes.
• Enable AI/ML solutions through well-governed, high-quality data platforms.
• Stay current with industry trends and continuously evolve platform capabilities.
• Lead, mentor, and develop a team of data architects, engineers, and analysts.
• Foster a culture of innovation, continuous learning, and cross-functional collaboration.
• Communicate complex technical concepts clearly to both technical and non-technical stakeholders.

Requirements

Education & Experience

• Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Engineering, or a related field.
• 12+ years of progressive experience in data architecture, data management, data modeling, and analytics, preferably within investment or asset management environments.
• 5+ years of experience designing and managing enterprise data platforms (cloud data lakes, warehouses, and marts).
• Proven experience leading technical teams and delivering complex, large-scale data programs.

Technical Skills

• Advanced proficiency in SQL, Python, and data modeling methodologies (3NF, Dimensional, Data Vault).
• Hands‑on experience with Microsoft Fabric, Azure Data Lake, and Power BI.
• Strong expertise in architect scalable data solutions integrating multiple enterprise systems.
• Experience with enterprise application design, development, and support.
• Familiarity with Azure cloud services, data orchestration, and metadata management tools.

AI, Analytics & Governance

• Experience enabling and operationalizing AI/ML solutions within enterprise data platforms.
• Expertise in developing AI agents leveraging structured data.
• Deep understanding of data governance, data cataloging, and regulatory compliance (e.g., GDPR, CCPA).
• Proven ability to enforce data quality, security, standardization, and harmonization across platforms.