Responsibilities
- Lead the architecture and development of enterprise-scale Big Data platforms and multi-domain data processing systems.
- Define technology stacks, processing frameworks, and architectural standards aligned with long-term business and technical strategies.
- Establish best practices for data pipelines, metadata governance, monitoring, logging, and data organization across projects.
- Optimize storage and compute efficiency through partitioning, indexing, caching, and incremental processing strategies.
- Provide technical mentorship, conduct architecture and code reviews, and support engineers in solving complex technical challenges.
- Work closely with Security and Data Governance teams to ensure compliance with data quality, lineage, audit, and security requirements.
Requirements
- Minimum 6 years of experience in Big Data engineering, including 3 to 4 years in senior or lead engineering positions.
- Hands-on experience building and operating data platforms on cloud native or bare-metal infrastructure.
- Strong expertise in designing scalable and reusable data models for enterprise applications.
- Experience developing high-performance real-time data processing pipelines and distributed systems.
- Proven background leading or mentoring teams in large-scale digital transformation or data-driven initiatives.
- Solid understanding of enterprise data governance, data quality, and data management standards.
Education & Qualifications
- Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, Information Technology, Computer Engineering, or related fields.
- Graduates from globally recognized universities or research-intensive institutions are preferred.
- Relevant international certifications in Big Data, distributed systems, or cloud technologies are an advantage.
HOW TO APPLY: Please send your CV to the consultant in charge:
E-mail: my.do@ev-search.com
All applications will be considered without regard to race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, parental status, military service, or any other non-merit factor.
