Data Platforms Team Leader

ABOUT CLIENT

Our client is a global consumer finance company that provides easy and accessible financial solutions for people who need it

JOB DESCRIPTION

Mentor and lead a team of data platform and support engineers to encourage self-organization and empowerment
Conduct performance evaluations and provide opportunities for professional growth
Showcase team accomplishments at internal and external events
Install, configure, monitor, and maintain data platforms, including databases and filesystems
Regularly update and patch systems to uphold security and stability
Identify and resolve data platform issues in a timely manner
Implement and maintain backup and recovery strategies for data platforms
Educate users on platform features and related processes
Ensure proper data platform design and features to enable AI/ML model training/serving, data management, and tracking data quality
Oversee 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
Ensure projects are delivered on time and within scope
Manage expectations, risks, and resolve issues during the platform lifecycle
Work closely with Product Owners and Development Teams 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)
Implement and maintain quality standards for platform code
Ensure regular testing and validation are implemented as a vital part of automated CI/CD
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

JOB REQUIREMENT

Experience in leading data or AI/ML platform engineering team
Knowledge of leading data platforms such as Apache Airflow, Kafka, KServe, Iceberg, Lakekeeper, MLFlow, OpenMetadata, Oracle RDBMS, Spark, Trino, and their operations, infrastructure installation, administration, monitoring, patching, and automation
Understanding of typical data consumer use cases including applications, model training, model serving, and various visualization tools
Ability to define team processes and track work item queues using JIRA software
Ability to provide well-structured, engaging feature, and guideline documentation
Experience in tracking team member performance, identifying growth opportunities, and ensuring smooth collaboration
Degree in computer science, engineering, or related field
Proficient in English
5+ years of experience in a software development environment, preferably involving cross-team dependencies.

WHAT'S ON OFFER

Guaranteed 13th salary and KPI bonus
Comprehensive health care coverage
24/7 accidental insurance
Full social insurance coverage
Meal and phone allowance
Yearly medical checkup
15 days of annual leave
Professional and transparent work environment
Utilize cutting-edge financial technology

CONTACT

PEGASI – IT Recruitment Consultancy | Email: recruit@pegasi.com.vn | Tel: +84 28 3622 8666
We are PEGASI – IT Recruitment Consultancy in Vietnam. If you are looking for new opportunity for your career path, kindly visit our website www.pegasi.com.vn for your reference. Thank you!

Job Summary

Company Type:

Product

Technical Skills:

Data Engineering, Devops, AI

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Onsite

Job ID:

J02262

Status:

Active

Related Job:

Senior Product Engineer

Ho Chi Minh - Viet Nam


Product, AI Application Platform

  • Python
  • AWS
  • Azure
  • AI

Design and develop the agent framework, including workflows, tool utilization, orchestration, and reasoning. Create the runtime, governance, and evaluation capabilities to ensure that agents are safe and reliable in production environments. Develop integrations and reusable components that link agents to customer systems and data. Manage features from start to finish: comprehend the user problem, deliver an initial version quickly, then refine it with feedback from end-users until it is polished and truly functional. Utilize these agents in daily tasks and address any obstacles encountered. Maintain high standards for quality and guide others through code reviews.

Negotiation

View details

Sales Leader

Ho Chi Minh - Viet Nam


Outsource

  • Sale

Drive pipeline creation and conversion to meet and exceed sales targets. Develop and expand presence within key banking divisions by establishing and nurturing client relationships. Engage and build relationships with business and technology executives. Drive proactive sales activities to meet and exceed business objectives. Lead strategic planning for focus areas, ensuring alignment with overall account goals. Build account intelligence to uncover and shape new opportunities. Collaborate with service lines and partners to deliver integrated solutions. Develop compelling proposals, pricing, and points of view for both proactive opportunities and formal procurement processes. Collaborate with global centers of excellence such as Data, Cloud & Infrastructure, Fraud, Risk & Compliance to secure and deliver on deals. Hold P&L responsibility for assigned divisions, business areas, or portfolios.

Negotiation

View details

AI Solution Architect

Ho Chi Minh - Viet Nam


Outsource

  • AI
  • Architect
  • Cloud

Take charge of client discovery and solution workshops, evaluating AI implementation opportunities and transforming business requirements into achievable technical strategies. Develop secure, scalable, and cost-effective architectural solutions utilizing LLMs, RAG, agents, data integrations, and cloud technology. Oversee or offer guidance in PoC development, review design and code, and provide support in key technical decisions throughout project delivery. Assist in scoping solutions, drafting technical proposals, delivering presentations, and estimating project requirements for potential clients. Offer leadership in AI integration by mentoring teams in AI-driven development, coding agents, evaluation techniques, and establishing reusable engineering workflows. Establish standard architectures, repeatable patterns, governing guidelines, and success metrics for AI projects.

Negotiation

View details