Welcome to MultiBank Group, a global financial pioneer established in 2005 in California and now proudly headquartered in Dubai, UAE. We specialize in delivering cutting-edge trading technology, unparalleled liquidity, and exceptional customer service. Our extensive range of financial products includes Forex, Metals, Shares, Indices, Commodities, and Cryptocurrency CFDs.

Join our thriving community of over 2 million clients across 100 countries, contributing to a daily trading volume exceeding US $35 billion. As a heavily regulated institution with oversight from 17+ financial regulators across 5 continents, and recipient of over 70 financial awards, MultiBank Group is devoted to innovation, excellence, and empowering our clients to achieve their financial goals.

Role Overview:

We are seeking a visionary Head of Data Technology to architect, lead, and deliver the MultiBank Group Data Platform. This role will define the technology foundations of our data ecosystem, integrating cross-brand data sources into a unified Lakehouse architecture and enabling the next generation of AI, analytics, and personalisation capabilities.

This is a foundational leadership position, responsible for technology strategy, architecture design, and execution of all data infrastructure projects, from ingestion to visualization. You will manage a team of Data Engineers, BI Developers, and Cloud Specialists, and collaborate closely with Product, AI, and Business stakeholders to deliver reliable, scalable, and governed data solutions.

Key Responsibilities:

Leaderships & Strategy

• Lead the end-to-end design and delivery of the MultiBank Group Data Platform aligned with the Group CTO’s vision.
• Build and scale a world-class data technology team across engineering, analytics, and DevOps disciplines.
• Own data architecture decisions, including the Lakehouse model, S3 storage layers, Glue/DBT transformations, Kafka/Spark ingestion, and Redshift/RDS clusters.
• Collaborate with BI, AI, and Product leadership to define data standards, governance, and best practices.
• Drive adoption of self-service analytics, data observability, and data quality frameworks across departments.

Platform Architecture & Delivery

• Architect and implement the data ingestion, transformation, and modeling layers for all business verticals (Trading, CRM, Marketing, Compliance).
• Design and manage real-time data pipelines using Kafka and Spark Streaming.
• Oversee data modeling, schema design, and versioning in line with dbt, Glue, and Lakehouse practices.
• Ensure data availability, consistency, and reliability across systems through monitoring, alerting, and SLAs.
• Lead migration and modernization initiatives on AWS (S3, Glue, RDS, Redshift, SageMaker).
• Integrate data systems with AI/ML infrastructure to enable personalization, customer segmentation, and risk analytics.

Governance & Security

• Implement data access policies, audit trails, and lineage for compliance with regulatory and privacy frameworks (GDPR, UAE PDPL).
• Partner with the cybersecurity team to enforce encryption, key management, and data loss prevention.
• Establish CI/CD practices for data pipeline deployment and version control.

Monitoring & Reliability

• Implement 24/7 observability for all data pipelines and warehouse systems using tools such as CloudWatch, Datadog, or Prometheus.
• Create dashboards for data quality KPIs, ingestion latency, and SLA compliance.
• Lead incident management and continuous improvement initiatives.

Qualifications & Requirements:

• 10+ years in data engineering, platform architecture, or infrastructure roles, including 3+ years in leadership.
• Deep expertise in AWS data stack (S3, Glue, Redshift, RDS, SageMaker, IAM).
• Strong command of Kafka, Spark, Airflow, dbt, and containerised data services (Docker/Kubernetes).
• Experience with data modeling, ETL automation, and version-controlled transformation layers.
• Demonstrated success leading data platform or modernisation projects from concept to production.
• Proven ability to bridge technical and business stakeholders.

Desirable Certifications

• AWS Certified Data Analytics – Specialty
• Databricks Certified Data Engineer Professional
• Certified Data Management Professional (CDMP)
• PMP or Agile certification (for delivery management)

Collaboration

• Works cross-functionally with Product, AI, and Cybersecurity teams to enable data-driven decisions.
• Strong leadership, mentoring, and communication skills to scale a multi-disciplinary data team.
• Passion for data culture, innovation, and measurable business outcomes.

Why Join Us?

• Work with an industry-leading global financial institution.
• Competitive salary and comprehensive employee benefits.
• Opportunities for professional growth and career advancement.
• Collaborative, inclusive, and dynamic work environment.
• Commitment to innovation and professional excellence.

Become part of our international community at MultiBank Group, dedicated to excellence, innovation, and shaping the future of finance.