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Team Leadership and Management:

• Lead and mentor agile team of data platform and support engineers towards self-organization and empowerment
• Conduct performance reviews and provide professional development opportunities
• Present team achievements in internal and external events

Data Platform Administration & Support​:

• Install, configure, maintain and monitor data platforms, including databases, filesystems, and other related technologies​
• Regularly update and patch systems to maintain security and stability​
• Identify, diagnose, and resolve data platform problems in a timely manner​
• Implement and maintain backup and recovery strategies for data platforms, ensuring data integrity and availability​
• Inform, support and educate users of historical and new platform features and related processes

Continuous Improvement, Technical Excellence and Accountability:

• Ensure proper data platform design and platform features enabling AI/ML model training/serving, data management, data quality tracking
• Oversee the technical design aligned with company strategy and policies
• Follow, select and apply the latest technologies and best practices in platform code, management, and AI/ML area

Delivery Tracking:

• Ensure projects are delivered on time, within scope, in alignment with product owner and users’ expectations, including non-functional requirements (performance, security, stability, observability, continuity)
• Manage expectations, risks and resolve issues that arise during platform lifecycle

Collaboration with Product Owner(s) and Development Team(s):

• Work closely with the Product Owners and Development Teams depending on platform features and performance to align platform roadmaps with their goals
• Provide platform-level feasibility assessments for new features and enhancements
• Ensure clear communication and coordination between the team, Product Owner(s) and Development Team(s)

Automation, code quality and documentation:

• Implement and maintain quality standards for platform code
• Ensure regular testing and validation are implemented as vital part of automated CI/CD

Data Governance and Compliance:

• Ensure data platform features comply with relevant data privacy and security regulations and policies
• Manage data access and usage to protect personal data and other sensitive information

Understanding candidates' expectations of the ideal workplace, we always put the people element at the top of our priorities. ​

Compensation programs and employees' development opportunities for employees are always significantly invested in, bringing you:​

Primary benefits:

• 13th-month Salary and performance- based KPI Bonus ​
• 15+ Annual Leaves​
• Full Social Insurance, 24/7 Accidental Insurance, Annual Medical Check- up​
• Team Building and CSR activities: Year- end Party, New-year Party, Company trip, Charity activities, Blood donation​
• Learning workshops: Udemy E-learning, English courses, Senior management development training programs​

Our culture fosters your career development through: ​

1. Strategy ​

• Thinking Big: We focus on creating meaningful and sustainable opportunities for the company. ​
• Customer Obsession: We try to understand future customer needs, trends, and the impact of digital transformation. ​

2. Implementation ​

• Digital Savviness: We seek to understand the technological aspects of the business to enhance efficiency and customer experience. ​
• Entrepreneurship: We communicate the company's strategy and purpose to others, inspire and lead them effectively. ​
• Risk in mind: We consider risks and their possible effects before making decisions. ​
• Operational Excellence:  We stay focused on the goal, disciplined in tightening tasks to the end. ​

3. Building the organization ​

• People Centricity: We sustain focus on the development of team members through meaningful development plans and learning opportunities. ​
• Integrity: We always stay focused on the goal you need to achieve, refrain from getting into personal conflicts.

• 5+ years in a software development environment preferably involving cross-team dependencies
• Previous experience with leading data or AI/ML platform engineering team
• Good knowledge of leading data platforms (Apache Airflow, Kafka, KServe, Iceberg, Lakekeeper, MLFlow, OpenMetadata, Oracle RDBMS, Spark, Trino), their operations and related infrastructure installation, administration, monitoring (Grafana, Prometheus), patching and automation (Linux, GIT, Ansible, Helm, Terraform, Kubernetes, Ceph, KVM)​​
• Good level of understanding of typical data consumer use cases including applications, model training, model serving and various visualization tools (PowerBI, Grafana).
• Able to define team processes and track work item queues using JIRA software
• Able to provide well-structured, engaging feature and guideline documentation
• Experience tracking team member performance, identifying growth opportunities, ensuring smooth collaboration
• Bachelor’s degree in computer science, engineering or related field
• Fluent English