AI Data Platforms and Integration Lead

TEN-XER; Dubai; Presencial; AED 420.000 - 650.000; Jornada completa

Descripción de la vacante

TEN-XER in Dubai seeks a Senior Data Platform Lead to drive the development and maintenance of AI data platforms, ensuring scalable data architectures that meet strategic objectives.

You will design and implement integration solutions, mentor a team of data engineers, oversee data models and pipelines, and collaborate with cross-functional partners while upholding data governance and security standards.

Experience with cloud platforms and ETL tools is essential.

Formación

• Proven leadership experience in data platform development and integration projects.
• Expertise in data architecture, warehousing, and integration tools.
• Strong problem-solving and ability to work under pressure.
• Excellent communication with technical and non-technical stakeholders.
• Experience with cloud-based data platforms and services.
• Familiarity with AI technologies and their integration.

Responsabilidades

• Lead the development and maintenance of AI data platforms to support the company's strategic objectives.
• Design and implement integration solutions to ensure seamless data flow between various systems and platforms.
• Collaborate with cross-functional teams to understand and align on data needs and integrations.
• Manage and mentor a team of data engineers and integration specialists to ensure project deliverables are met.
• Oversee the design and implementation of data models and pipelines to facilitate efficient data processing and analysis.
• Evaluate and integrate new technological advancements to enhance platform capabilities and performance.
• Ensure compliance with data governance and security policies across all data platforms.
• Develop and maintain comprehensive documentation and best practice guidelines for platform and integration operations.
• Troubleshoot and resolve any issues related to data platforms and integrations in a timely manner.

Conocimientos

Leadership

Data architecture

Data warehousing

Data integration tools

Programming: Python/Java/SQL

Cloud platforms

AI integrations

Problem-solving

Communication

Educación

Bachelor's or Master's in CS/IT or related

Herramientas

ETL tools

Integration frameworks

CI/CD

Descripción del empleo

Responsibilities:

• Lead the development and maintenance of AI data platforms to support the company's strategic objectives.
• Design and implement integration solutions to ensure seamless data flow between various systems and platforms.
• Collaborate with cross-functional teams to understand and align on data needs and integrations.
• Manage and mentor a team of data engineers and integration specialists to ensure project deliverables are met.
• Oversee the design and implementation of data models and pipelines to facilitate efficient data processing and analysis.
• Evaluate and integrate new technological advancements to enhance platform capabilities and performance.
• Ensure compliance with data governance and security policies across all data platforms.
• Develop and maintain comprehensive documentation and best practice guidelines for platform and integration operations.
• Troubleshoot and resolve any issues related to data platforms and integrations in a timely manner.

Requirements:

• Proven leadership experience in managing data platform development and integration projects.
• Strong expertise in data architecture, data warehousing, and data integration tools.
• Excellent problem-solving skills and the ability to work effectively under pressure.
• Strong communication skills to liaise with technical and non-technical stakeholders.
• Experience with cloud-based data platforms and services.
• Familiarity with AI technologies and their integration into data platforms.

Qualifications:

• Bachelor's or Master's degree in Computer Science, Information Technology, or a related field.
• Over 10 years of professional experience in data platforms, integration, and analytics.
• In-depth knowledge of integration frameworks and data management best practices.
• Proficiency in programming languages such as Python, Java, or SQL.
• Experience with ETL processes and tools.
• Certifications in relevant technologies or methodologies are a plus.