Ernst & Young
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 Baghdad, 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
- Bachelor’s or Master’s 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 learnin
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