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:

Technical Leader

Ho Chi Minh - Viet Nam


Product

  • Python

We are looking for a product-minded Technical Lead who possesses a strong engineering foundation and the leadership capability to drive our backend and AI initiatives. You will not only architect scalable Python systems but also align technical decisions with business goals. In this role, you are expected to own the product lifecycle end-to-end-from design to operation-while building a high-trust, high-performance engineering culture. You must be adaptable, ready to lead the team through technology shifts (specifically in AI integration), and capable of balancing speed, quality, and cost based on the product phase.#What You'll Do Product-Centric Engineering & Strategy Product Mindset: Work closely with Product Managers to understand user pain points and value features. Make technical trade-offs based on the current product phase (e.g., MVP vs. scaling). Ownership: Take end-to-end responsibility for features: Design → Development → Release → Operation. Proactively propose solutions and identify risks before they become issues. Adaptability: Lead the team in adapting to new technology directions, particularly integrating AI/ML workflows into the backend. Be willing to pivot technical approaches when product direction changes. Architecture & Technical Foundation System Design: Architect robust systems with a clear understanding of when to use Monolith vs. Microservices. Design efficient data models, data flows, and versioned APIs. Cloud & Infrastructure: Leverage AWS services effectively. Assess the risks and benefits of integrating external services versus building in-house. Performance & Security: Ensure systems are designed for scalability, high performance, and security while keeping infrastructure costs optimized. Delivery & Execution Execution: Ensure on-time releases with the required quality standards. Manage scope creep and handle cross-team/external dependencies effectively. Risk Management: Provide honest reporting to management. Do not hide risks; instead, communicate them early with mitigation plans. Operational Excellence: Maintain system stability and reliability in production. Leadership & Mentorship Team Building: Build a strong engineering culture and standardize coding practices. protect the team from distractions while ensuring members trust and follow your technical direction. Mentorship: Conduct code reviews to mentor the team on mindset and standards (SOLID, DRY). Delegate tasks effectively-assigning the right people to the right jobs. Communication: Act as a bridge between technical and non-technical stakeholders. Explain technical decisions to the CEO and Product teams using business language (Cost, Risk, Impact). Align expectations on scope and delivery explicitly from the start.

Negotiation

View details

C++ Engineer - Market Data

Ho Chi Minh, Ha Noi - Viet Nam


Product

  • C/C++

Maintain/enhance our legacy C++-based tick data processing platform as needed, demonstrating product ownership, and helping migrate datasets to our new tick data processing platform. Contribute to our new, modern C++-based tick data processing platform - enhancing the platform to support additional tick data feeds across asset classes, developing/reviewing the implementation of tick data-based interval features/statistics, and adding new functionality to the platform all while maintaining high software standards and best practices. Collaborate with the Research and Portfolio Management organizations to facilitate the transition from our legacy platform to our new platform, supporting their price volume data needs for signal generation.

Negotiation

View details

Senior Business Analyst

Ho Chi Minh - Viet Nam


Outsource

  • Business Analyst

We are seeking a Senior Business Analyst to join our global Business Analysis unit with Business Analysts from various locations to serve clients in the Americas, and develop innovative products that have a significant impact on clients' business. In this role, you will serve as the liaison between stakeholders and the tech team in Vietnam. You will be involved in different workstreams such as assessing business value, collaborating with cross-functional teams to define experiences, gathering requirements, writing user stories, and delivering impactful experiences to end users. Undertake the role of the Product Owner, making prioritization decisions and managing backlog independently and proactively. Contribute to creating and managing the roadmap. Act as a liaison between stakeholders in the US and the tech team in Vietnam, ensuring alignment and addressing impediments. Draft detailed feature requirements and user stories and effectively communicate them to creative and technology teams. Proactively identify and document edge cases, error states, and non-happy path scenarios to ensure comprehensive feature design before development commences. Identify and communicate key dependencies, risks, and blockers. Assist in the end-to-end delivery of features, from definition to launch. Assist in identifying, prioritizing, and resolving defects. Maintain communication with key stakeholders to ensure alignment, coordinate change, and manage expectations. Act as the primary point of contact for technical and business queries and translate ambiguous stakeholder requests into clear, actionable specifications with no room for interpretation. Anticipate the impact of new features on existing systems to prevent regression or logic conflicts.

Negotiation

View details