Lead the design, implementation, operation, and continuous evolution of the enterprise Data Platform by ensuring a secure, scalable, highly available, and high-performing data ecosystem. The role is responsible for enabling reliable data collection, processing, governance, and analytics while driving technology innovation, platform modernization, and cross-functional collaboration to support business objectives and data-driven decision-making.
Roles & Responsibilities:
Lead the Hadoop Data Lake and Lakehouse platform and ensure its operational excellence.
Design and maintain scalable, secure, and highly available data platform architecture.
Ensure platform availability, reliability, performance, and service continuity.
Lead data platform architecture, technical design, and technology roadmap.
Manage end-to-end data collection, ingestion, processing, storage, and reporting services.
Define and enforce data governance policies, standards, and best practices.
Drive platform modernization, automation, and innovation initiatives.
Implement engineering best practices, CI/CD pipelines, and DevOps methodologies.
Manage system capacity planning, performance optimization, and infrastructure scalability.
Lead disaster recovery, business continuity, and resiliency planning.
Monitor platform health and proactively resolve technical issues and production incidents.
Manage technical risks, root cause analysis, and problem resolution.
Collaborate with DevOps, Infrastructure, Operations, Enterprise Architecture, and business stakeholders.
Lead and mentor technical teams while supporting knowledge sharing and technical development.
Manage project execution, resource planning, and delivery of strategic data initiatives.
Support data monetization initiatives through API enablement and modern data services.
Qualifications:
Education
Master's or Ph.D. degree in Data Science, Artificial Intelligence, Software Engineering, Computer Science, Mathematics, Statistics, or a related discipline.
Experience
Proven experience leading enterprise Big Data or Data Platform environments.
Hands-on experience in Data Lake and Lakehouse architecture and implementation.
Experience managing cross-functional technical teams and enterprise-scale projects.
Strong background in telecommunications or large enterprise environments is preferred.
مجموعۀ ایرانسل لبز، از سال 1398، با مأموریت انجام فعالیت های تحقیق و توسعه، نوآوری و تجاری سازی در زمینۀ شبکۀ ارتباطات و فناوری اطلاعات و کسب وکارهای پیرامونی با کمک مراکز علمی و پژوهشی داخل و خارج از کشور، اعم از دانشگاه ها، شرکت های دانش بنیان، استارتاپ ها و شرکت های فناور، با هدف تأمین نیازمندی های بازار ICT تأسیس شده است.
چشم انداز این مجموعه، پیشگام بودن در توسعۀ منابع انسانی و زیرساخت های تحقیقاتی اقتصاد دانش بنیان در حوزۀ ارتباطات و فناوری اطلاعات و دستیابی به جایگاه برترین شرکت ملی در زمینۀ خلق محصولات و خدمات این حوزه است و «بخش تحقیق و توسعه»، «مرکز نوآوری ایرانسل» و «آکادمی ایرانسل»، از جمله بخش های اصلی آن هستند.