Data Tech Lead: Architect Data Solutions & Lead the Team

TEN-XER; Dubai; On-site; AED 400,000 - 650,000; Full time

Job summary

TEN-XER is seeking an experienced Data Tech Lead to guide our data team and oversee data initiatives. You will drive data architecture, ensure data integrity, and oversee ETL and warehousing projects across the organization.

The role emphasizes leadership, hands-on architectural skills, and collaboration with cross-functional teams to deliver scalable data solutions and cost-efficient performance.

Qualifications

• Bachelor’s or Master’s degree in CS/DS/IT.
• Certifications in data management or cloud computing are desirable.
• On-site, collaborative team environment experience.
• Strong project management and ability to handle multiple priorities.

Responsibilities

• Lead and manage the data engineering team to deliver high-quality data solutions.
• Design, implement, and maintain scalable data architectures.
• Collaborate with cross-functional teams to align data solutions with business needs.
• Ensure data quality, integrity, and security across all data platforms.
• Oversee data integration, ETL processes, and data warehousing solutions.
• Mentor and provide technical guidance to data engineers and analysts.
• Optimize data systems and services for performance and cost efficiency.
• Stay current with industry trends and technologies to incorporate new techniques and tools.

Skills

Leadership

Data architecture

ETL

Data modelling

Programming (Python/Java/Scala)

Cloud platforms (AWS/GCP/Azure)

Big data tech (Hadoop/Spark/Kafka)

Communication

Mentoring

Problem solving

Education

Bachelor’s or Master’s degree in CS/DS/IT

Certifications in data management or cloud computing

Tools

Hadoop

Spark

Kafka

Job description

TEN-XER is seeking an experienced Data Tech Lead to guide our data team and oversee data initiatives. You will drive data architecture, ensure data integrity, and oversee ETL and warehousing projects across the organization.

The role emphasizes leadership, hands-on architectural skills, and collaboration with cross-functional teams to deliver scalable data solutions and cost-efficient performance.