Senior Cloud Data Architect

JOB DESCRIPTION

In a view of the development of his new operating model, we're currently recruiting a Cloud Data Architect to join our team in Singapore and drive the development with international ambition.
The prime responsibility of this new role is to design and build high-performance resilient data architectures and design data patterns to support micro-service-based application architecture.
You will lead the Platform Design Committee and be responsible for the data high and low-level design deliverables (ERD, logical and physical design or review)
As more customers engage with company and the amount of available data will increase, your contribution and understanding of how to use this data to improve automation and from customer experience to product and service development will be key for our success.
Key Responsibilities
Drive and design future-proof data architectures, strategically aligning data systems with business objectives to ensure efficient and scalable data management.
Architecting conceptual, logical, and physical architecture and data models for operational enterprise data and analytics solutions using recognized data modeling approaches
Collaboration with project teams to ensure architectural principles are met and build andact as a change agent
Build container-based big data architectures on top of Kubernetes
Evaluate cutting-edge big data technologies
Design and implement large and complex data solutions (Data Warehouse, Data Lake, Data Analytics) using various architectural patterns such as microservices
Utilize rapid prototyping techniques to accelerate time-to-market for our customers
Trend scouting around new technology
General
Create robust data architecture to manage data efficiently and effectively
Define the data strategy and the key principles associated with it
Develop and understand the enterprise data landscape and map data stores and flows between the operational systems for our micro-service approach
The role is varied and there are opportunities to become involved in activities across all parts of the business

JOB REQUIREMENT

Essential:
3+ years of cloud data experience and insurance industry track record
Strong data architecture and data modeling skills
Experience with designing solutions for managing highly complex business rules within the Azure ecosystem and cloud infrastructure, including data governance
Extensive experience working with Data-APIs (RESTful endpoints)
Prior work experience in Insurance consulting/architecture within a software and/or services company
Manage and work autonomously on projects
Experience with Advanced SQL and Python skills
Experience with DataOps
Experience in using DevOps while working on Cloud data platforms like using Terraform forInfrastructure as Code (IaC), GitOps or using Docker, Kubernetes
Experience building data pipelines leveraging Spark (Azure Databricks or Apache Spark), and Airflow.
A successful candidate must be able to demonstrate:
A visionary with a proven track record in strategic planning, individual/team development, and service delivery
Embodies a collaborative approach in bringing both business and technology stakeholders together to deliver technology solutions that enable tangible business benefits
Thinking, proactive and solutions-oriented
Innovative and entrepreneurial thinking
Working well as part of a team and be autonomous
Working in a fast-paced, high-volume environment
Decision-making abilities
Strong work ethic
Desirable:
Breadth of technical experience and knowledge, with depth / subject matter expertise in the following Data Analytics and AI Platform Cloud solutions required:
SQL including OSS (PostgreSQL, MySQL etc), Azure SQL
Data storage and archive
NoSQL Databases including OSS (Maria, Mongo etc), Cosmos DB
Big Data including SQL DW, Snowflake, Big Query, Redshift
Advanced Analytics including Azure DataBricks, visualization tools such as PowerBI, Tableau, QlikView
Streaming, IoT, Real-time analytics
ETL/ELT, Data Governance, Data Security
Data Science, Data Engineering
Deep Learning and Machine Learning including Azure ML, ML Server

WHAT'S ON OFFER

The Opportunity
You will reach your full capabilities by developing innovative products with trending and cutting-edge cloud and microservices technologies with a full lifecycle - you propose it, you build it, you own it.
You are the foundation of one potential and game-changer startup in Insurance Domain.
The Benefits
Very competitive remuneration package
Premium healthcare for yourself and two family members
Monthly meal, telephone and transport allowance
Generous year-end bonus
A solid business and technical team behind you
The pleasant, enthusiastic, international work environment
Opportunity for traveling & working in South East Asia
A brand new & state of the art office in District 1 (HCM city)
Latest technologies, flexible working hours
And many more to come.

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, Cloud, Python, ETL/ELT, SQL, Azure, Data Science, Machine Learning

Location:

Ho Chi Minh - Viet Nam

Working Policy:

Salary:

Negotiation

Job ID:

J01562

Status:

Close

Related Job:

Data Experience Lead

Ho Chi Minh - Viet Nam


Product

  • Data Science
  • Management

Train pods in designing, building, deploying, and maintaining Data Products based on established playbooks. Simplify and translate platform playbooks into actionable user guides. Assist teams transitioning into new Data Mesh roles (DPO, Steward, Data Architect, Analytics Engineer, etc.). Provide hands-on support for early-wave or complex Data Products. Make data products and platform accessible and engaging for all staff across the organization. Develop a digital enablement portal including guides, checklists, templates, and videos. Create structured training pathways and capability improvement programs for all affected staff/users. Generate clear visual materials such as diagrams, flows, web-style docs, and promotional videos to aid adoption and understanding. Facilitate onboarding, workshops, roadshows, Q&A sessions, town hall presentations, and demos. Offer structured guidance across ingestion patterns, medallion design, semantics, quality, and metrics to ensure consistency in a mesh environment. Execute or coordinate targeted POCs for pods needing specialized help. Identify and communicate reusable patterns back to the Data Mesh Platform Team. Organize Showcases to create visibility, excitement, and promote reuse. Oversee the end-to-end user experience design for the Data Mesh Platform, aiming for clarity, trust, and ease of use. Shape how users discover, understand, and interact with data products across domains. Maintain UX standards in partnership with the customer-facing UX Design team. Take a deeply user-centric approach to drive change through intuitive and guided technology. Engage with end users to understand needs and gather insights. Integrate continuous feedback loops and iterate quickly to improve platform usability. Ensure all Mesh Experience features support adoption and reinforce the "data-as-a-product" mindset. Maintain active channels for communication and updates. Communicate expectations, standards, and timelines clearly. Highlight wins and success stories to build momentum. Curate relevant external content to support the transformation. Monitor progress of rollout, leader boards, and raise blockers with appropriate stakeholders. Utilize data to highlight platform adoption, culture change, wins, and challenges. Produce clear and compelling summaries on adoption progress for decision making. Manage end user feedback and be the link between users and the platform team.

Negotiation

View details

Data Scientist Lead

Ho Chi Minh - Viet Nam


Outsource

  • Machine Learning
  • Data Engineering
  • Cloud
  • Management

Creating robust ETL/ELT data pipelines for structured and unstructured data Developing interactive dashboards and visualizations for effective communication of insights Evaluating, deploying, and evaluating machine learning and/or generative AI models Applying statistical analysis and mathematical modeling to extract insights from complex datasets Working with various teams to deliver data-driven solutions Creating and maintaining scalable ML pipelines and APIs for real-time and batch inference Ensuring best practices in model versioning, reproducibility, observability, and governance (MLOps) Staying updated with AI/ML trends and contributing to projects involving semantic search, knowledge graphs, or retrieval-augmented generation as necessary.

Negotiation

View details

Senior Planning Specialist

Ha Noi - Viet Nam


Product

  • Non-tech

Develop short-term, midterm, and long-term business plans aligned with organizational strategy Analyze financial data, revenue, cost structures, and operational KPIs to propose optimization solutions Monitor plan execution and prepare regular performance reports for management Assist in preparing budgets and tracking expenses Collaborate with other departments to gather information and align plans Conduct market research, competitor analysis, and identify growth opportunities Suggest improvements in planning and reporting processes Identify and report risks or issues that may affect planning

Negotiation

View details