Saturday to Tuesday 8:00 - 17:15 - Wednesday 8:00 - 15:00
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Transportation -Loan -Health insurance
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51 - 200 employees
Telecom
Iranian company dealing only with Iranian entities
1398
Privately held
Transportation توضیحات بیشتر
key Requirements
5 years experience in similar position PostgreSql - Intermediate
GIT - Intermediate
Kafka - Intermediate
Hadoop - Intermediate
Spark - Intermediate
MongoDB - Intermediate
Docker - Intermediate
Kubernetes - Intermediate
Job Description
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:
Education
- 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.
Education
- Master's or Ph.D. degree in Data Science, Artificial Intelligence, Software Engineering, Computer Science, Mathematics, Statistics, or a related discipline.
- 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.
- Hadoop ecosystem (HDFS, Spark, Hive, Kafka, NiFi, Airflow)
- ClickHouse and MinIO
- Data Lake & Lakehouse architecture
- Big Data platform design and administration
- ETL/ELT architecture and data integration
- Data warehouse architecture and dimensional modeling
- Oracle, MongoDB, PostgreSQL, and other enterprise databases
- CI/CD, Git, Docker, Kubernetes
- DevOps practices and release management
- Data governance and data quality principles
- Platform monitoring, logging, troubleshooting, and incident management
- Performance tuning, capacity planning, and optimization
- High Availability (HA), Disaster Recovery (DR), and Business Continuity (BC)
- Enterprise security, encryption, identity and access management
- API integration and distributed systems architecture
- Telecom domains including BSS/OSS, CRM, Billing, Mediation, Charging, and Network Data
- Enterprise Solution Architecture
- Agile/Scrum methodologies and project management
- Leadership and people management
- Strategic thinking and problem-solving
- Excellent communication and stakeholder management
- Decision-making and analytical thinking
- Collaboration across multidisciplinary teams
- Coaching and mentoring capabilities
- Strong planning, organization, and execution skills
Job Requirements
Gender
Men / Women
Education
Software
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