Key Responsibilities

Participated in the implementation of enterprise data initiatives, including modern data platforms, analytical data repositories, unified data ecosystems, and AI-enabled data solutions, primarily for large organizations operating in highly regulated industries.
Designed, deployed, configured, and maintained various components of data platform environments, including database systems, data integration services, metadata management capabilities, workflow orchestration tools, and distributed query engines.
Assisted clients and partners in developing, optimizing, and troubleshooting data pipelines, analytical reporting solutions, and large-scale data migration projects from legacy environments to modern architectures.
Served as a primary technical liaison for solution discussions with technology vendors, implementation partners, and project stakeholders.
Produced technical documentation, deployment guides, operational procedures, and knowledge transfer materials throughout project lifecycles.
Delivered technical presentations, workshops, and solution demonstrations to customers and internal teams.
Conducted in-depth research and evaluation of emerging data technologies, architectures, and industry best practices.
Supported additional technical and project-related activities as required.

Education

Bachelor’s degree in Information Technology, Computer Engineering, Telecommunications, or a related technical discipline preferred.

5+ years of experience contributing to data-focused initiatives such as analytics platforms, business intelligence solutions, enterprise data repositories, large-scale data processing environments, or similar projects.
Hands-on experience working with containerized infrastructure platforms and cloud-native deployment environments.
Strong proficiency with Linux/Unix operating systems and system administration tasks.

Solid understanding of modern data platform architecture, including core platform components, data lifecycle management, and common data processing patterns.
Experience applying source control and infrastructure automation best practices, including version control workflows and automated deployment methodologies.
Ability to design, implement, and maintain scalable CI/CD pipelines supporting platform and application delivery.

Familiarity with enterprise-grade data management, analytics, governance, and AI platform solutions.
Experience developing data integration workflows, analytical reporting solutions, real-time or batch data processing pipelines, and distributed data applications.
Exposure to infrastructure deployment, platform engineering, or operational support for enterprise data environments.

Ability to communicate effectively in English and interpret technical documentation.
Strong interpersonal, presentation, and stakeholder engagement skills.
Effective teamwork and cross-functional collaboration capabilities.
Adaptable mindset with a strong commitment to continuous learning and technology adoption.

Strong sense of accountability, professionalism, and adherence to operational standards.
Ability to perform effectively in fast-paced and high-pressure environments.