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:

Platform Engineer

Ho Chi Minh - Viet Nam


Product

  • Backend
  • Devops
  • Data Engineering

Build and maintain distributed infrastructure handling telemetry, sensory, and control data across cloud and edge environments Design and operate data ingestion and streaming pipelines connecting robot fleets to the cloud in real time, covering video, joint states, audio, and LiDAR Develop and maintain backend services and APIs that power the Company's developer-facing platform, with a focus on reliability and developer experience Manage and evolve cloud native infrastructure using Kubernetes, Docker, and infrastructure as code tooling Ensure platform reliability through monitoring, alerting, autoscaling, failover, and incident response Support ML and robotics teams with data infrastructure for training pipelines, policy rollout, and hardware-in-the-loop simulation Implement secure APIs with access control, rate limiting, and usage metering as we scale

Negotiation

View details

Software Engineer (Digital Twin)

Ho Chi Minh - Viet Nam


Product

  • Python
  • C/C++

Build and maintain high-fidelity digital twin environments for Asimov across MuJoCo, Isaac Sim, and Unreal Engine, calibrated to real hardware behavior. Design and own the systems -- not just the environments -- that let locomotion, autonomy, and perception teams generate, validate, and iterate on simulation scenarios at scale. Build pipelines for asset import, USD and MJCF workflows, sensor modeling, and real-to-sim calibration to keep digital twins synchronized with evolving hardware. Develop photorealistic rendering pipelines in Unreal Engine for synthetic data generation and perception model training. Work with hardware and mechatronics teams to model actuator dynamics, contact physics, and structural behavior, ensuring simulation parameters reflect physical ground truth. Integrate digital twin environments with the Company's locomotion training pipeline (Cyclotron) and autonomy stack, enabling teams to run experiments and close the sim-to-real gap. Contribute to the open-source Asimov simulation stack, including tooling, documentation, and reproducible environment workflows.

Negotiation

View details

Head of IT Strategy and Enterprise Architecture

Ha Noi - Viet Nam


Product, Bank

  • Architect
  • Management

Take charge of building or evolving the enterprise architecture program/function. Head the development of an implementation plan for the enterprise architecture based on business strategy and requirements. Develop, interpret, advocate, support and execute business strategy to achieve the organization's targeted business outcomes. Build technology-enabled operating models and provide feasible options and visibility into execution issues. Assess the relationship between people, processes, information, technology, and things of the enterprise, and their relationships with one another and to the external environment. Collaborate with business peers to develop and present business capability models and roadmaps to facilitate discussion and decision making with stakeholders across the enterprise. Analyze the organization's future-state capabilities and future (and current) IT environment to identify critical deficiencies and recommend solutions for improvement and driving the business forward. Analyze the IT environment for critical deficiencies and recommend solutions for improvement. Provide perspective on the readiness of the organization to change and innovate. Present a gap analysis and/or IT investment roadmap that reflects the status of the existing IT estate, namely, its ability to contribute to future-state business capabilities around ecosystems and digital platforms. Analyze the organization's future-state capabilities and future (and current) IT environment to detect critical deficiencies and recommend solutions for improvement. Lead and facilitate the creation of governance assurance and standards to guide EA decision-making. Supervise the documentation of all architecture design and analysis work. Lead the development and execution of a communication and education plan for enterprise architecture.

Negotiation

View details