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.
