Job Title: Director
Department: FaaS - Digital Finance - Data & AI
Reports To: Partner Data & AI Practice
Position Summary
We are seeking a highly experienced Senior Data Architect to lead the design and implementation of enterprise-wide data architectures driving our clients digital and AI transformation initiatives. Based in Dubai you will work with C-suite leaders and technical teams to architect scalable, secure, and business-aligned data ecosystems across industries including government, financial services, energy, and retail.
Key Responsibilities
- Lead Data Architecture Strategy
- Define enterprise and solution-level data architecture strategies.
- Design modern data platforms (data lakes, warehouses, lakehouses) on cloud (Azure, AWS, GCP).
- Champion data mesh, data fabric or other advanced architectural patterns.
- Engage with Business & Technology Stakeholders
- Collaborate with business units to understand their data needs and translate them into technical solutions.
- Support data governance, security, lineage and catalog initiatives in partnership with Data Officers and CDOs.
- Architecture Delivery & Oversight
- Guide design of scalable data pipelines (batch/real-time), master data management and analytics layers.
- Oversee data platform modernization and cloud migration programs.
- Provide architectural governance and quality assurance throughout project lifecycle.
- Team Leadership & Capability Building
- Mentor and manage a team of data engineers and solution architects.
- Contribute to internal knowledge assets, accelerators and reusable frameworks.
- Client Engagement & Business Development
- Support pre-sales and proposal activities by shaping data architecture solutions.
- Build trusted relationships with client executives and technology teams.
Required Qualifications
- Bachelors or Masters degree in Computer Science, Information Systems, Engineering, or related field.
- 12 years of experience in data architecture, data engineering or information management.
- Proven experience with:
- Cloud‑native data platforms (e.g., Azure Synapse, Databricks, Snowflake, BigQuery).
- ETL/ELT tools (e.g., Informatica, Talend, dbt).
- Data governance tools (e.g., Collibra, Alation, Purview).
- Big data and streaming technologies (e.g., Kafka, Spark).
- Strong knowledge of data modeling, API management, security/privacy frameworks (e.g., GDPR, NDMO).
- Experience in leading multi‑disciplinary teams in complex consulting or enterprise environments.
- Excellent communication and presentation skills with the ability to engage senior stakeholders.
Preferred Qualifications
- Certifications in cloud (Azure, AWS or GCP) architecture or data engineering.
- Experience working in the GCC region with clients in public sector, banking or oil & gas.
- Familiarity with AI/ML lifecycle and integration of data platforms with analytics/ML pipelines.
What We Offer
- Competitive tax‑free salary and performance bonus.
- Exposure to cutting‑edge data transformation projects in the region.
- Fast‑paced collaborative and diverse working environment.
- Opportunities for leadership growth and continuous learning.
Required Experience
Director