AI Data Platforms and Integration Lead

Role overview

Responsibilities

• Lead development and maintenance of AI data platforms.
• Design integrations that provide seamless data flow between systems and platforms.
• Coordinate with cross-functional teams on data needs and integrations.
• Manage and mentor data engineers and integration specialists.
• Oversee data models and pipelines for data processing and analysis.
• Evaluate and integrate technologies to improve platform capabilities and performance.
• Ensure platform compliance with data governance and security policies.
• Maintain documentation and best-practice guidelines for platform and integration operations.
• Troubleshoot and resolve data platform and integration issues.

Requirements and qualifications

• Proven leadership in data platform development and integration projects.
• Expertise in data architecture, warehousing, and integration tools; experience with cloud data platforms.
• Familiarity with AI technologies and their integration into data platforms.
• 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.
• Knowledge of integration frameworks and data management best practices.
• Proficiency in Python, Java, or SQL; experience with ETL processes and tools.
• Relevant technology or methodology certifications are a plus.
• Strong problem-solving, communication, and ability to work under pressure.