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 Engineer Manager - Technology Risk

Ho Chi Minh - Viet Nam


Product

  • Management
  • Backend
  • Data Engineering
  • Devops

Develop and implement a cohesive roadmap for strategic execution based on the company's strategic ambitions Coordinate and oversee multiple engineering teams within the organization to achieve desired outcomes Collaborate with various internal teams, including technology, risk, business, and product teams, to ensure requirements are met before and after project delivery Take responsibility for both the development and ongoing operational support of applications in production Manage cyber security updates, ensuring software versions are up to date and infrastructure is patched regularly Monitor and control investment delivery to maintain alignment between different domains and optimize spending Facilitate collaboration between engineering and risk domain experts to achieve strategic technology goals

Negotiation

View details

Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering

Develop, test, and manage batch and streaming data pipelines on various cloud platforms like Snowflake, AWS Redshift, and Google Cloud Platform (BigQuery, Dataflow, Pub/Sub, Cloud Composer). Import data from various sources such as client APIs, SaaS platforms, event streams, and databases into secure cloud storage and warehouse layers. Create transformation logic using SQL and Python and deploy tested, well-documented models in dbt. Establish datasets and dashboards in Sigma for easy querying by business users and AI systems. Prepare and deliver data for AI applications, including feature tables, embeddings, and retrieval datasets, and provide access to data through controlled APIs and MCP servers. Utilize AI programming tools and automated workflows to enhance development efficiency, testing, and documentation, ensuring accuracy in the output. Set up data quality assessments, monitoring, and alerts, and develop automated procedures for diagnosing pipeline failures with AI support. Record details about pipelines, schemas, and data structures for the benefit of other teams and AI systems. Engage in code assessments and sprint planning within an agile, globally distributed team.

Negotiation

View details

Senior/ Lead Data Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Data Engineering

Develop pipelines on various cloud platforms such as Google Cloud Platform, AWS, and Snowflake for large enterprises. Create data models using dbt and make them accessible through layers that can be easily queried by analysts and applications. Construct data products that support automated systems, including layers for retrieval, pipelines for embedding, and interfaces for tools that agents use. Create workflows where agents oversee pipelines, address issues, conduct tests, and suggest improvements. Collaborate with teams from different backgrounds to hasten pipeline development, testing, and migration from older systems, ensuring that all changes are thoroughly checked before implementation. Establish and uphold data engineering standards for automation, continuous integration/continuous deployment (CI/CD), infrastructure as code, testing, and monitoring through code reviews. Take charge of data quality, data lineage, security, and cost management on various platforms, ensuring proper access controls and audit trails. Provide guidance to Data Engineers, evaluate their work, and serve as the representative for the data engineering team in technical conversations. Transform client business needs into technical designs and estimates for new projects.

Negotiation

View details