Senior Manager Digital FAAS Data & AI Abu Dhabi

FP&A; Dubai; On-site; AED 200,000 - 300,000; Full time

Job summary

A global consulting firm is seeking a Senior Manager Data Architect to lead enterprise-wide data architecture initiatives. Based in Dubai, you will work closely with C-suite leaders to create scalable data ecosystems. Ideal candidates have over 10 years' experience in data architecture and cloud platforms like Azure and Snowflake. The role offers a competitive tax-free salary, exposure to cutting-edge projects, and opportunities for leadership growth.

Benefits

Competitive tax-free salary

Performance bonus

Opportunities for leadership growth

Fast-paced collaborative environment

Qualifications

• 10 years of experience in data architecture, data engineering, or information management.
• Proven experience with cloud-native data platforms.
• Experience leading multi-disciplinary teams.

Responsibilities

• Define enterprise and solution-level data architecture strategies.
• Collaborate with business units to understand their data needs.
• Guide design of scalable data pipelines and oversee data platform modernization.

Skills

Data architecture

Data engineering

Cloud platforms

Data governance

Communication skills

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Azure Synapse

Databricks

Snowflake

BigQuery

Informatica

Talend

Collibra

Alation

Kafka

Spark

Job description

Overview

Job Title: Senior Manager Data Architect

Department: FaaS - Digital Finance - Data & AI

Reports To: Director / 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.
• 10 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