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:

Job ID:

J01562

Status:

Close

Related Job:

Principal IT Architect

Ho Chi Minh - Viet Nam


Outsource

Create target architecture, architecture principles, and technical guardrails for systems, platforms, and integrations Translate strategic objectives into specific technical initiatives and prioritize based on business value and risk Assess new technologies, platforms, and tools including their benefits, risks, costs, and strategic fit Develop solutions adhering to modern architecture principles such as cloud-native, Zero Trust, and automation Develop integration and platform strategies with consistent interfaces, API usage, and system integration Organize complex requirements into technical work packages and document solution designs Lead teams through critical implementation phases and make sound technical decisions Review architectures, designs, and implementations for consistency, quality, and strategic alignment Identify technical risks and develop mitigation measures Ensure comprehensive, clear, and updated documentation of systems and solutions Take technical lead on major incidents and structural problems Provide support for local IT administration tasks as needed Mentor senior and mid-level engineers, supporting individual growth and technical expertise Share best practices and experiential knowledge in a structured manner Identify skill gaps and initiate appropriate development measures Actively introduce and model modern technologies and ways of working Identify automation opportunities and implement them through scripting, workflows, or platform solutions Evaluate and integrate AI-powered tools to enhance efficiency and decision quality Promote AI competence within the team Evaluate technical solutions from an economic perspective: TCO, ROI, scaling costs, vendor lock-in Develop structured option comparisons and decision materials for leadership Identify cost savings through tool consolidation, decommissioning unused services, and cloud optimization

Negotiation

View details

Senior Embedded Linux Middleware Engineer

Ho Chi Minh - Viet Nam


Outsource

  • Embedded
  • C/C++

Create middleware/framework for SoC platforms. Conduct Integration Testing, Unit Testing, Functional Testing. Generate technical documentation and build sample applications for the product. Work with various teams to ensure project completion. Recognize, report, and resolve technical issues.

Negotiation

View details

(JTL) Cloud Architect

Ho Chi Minh - Viet Nam


Outsource

  • Devops
  • Azure

Defining and evolving the target architecture for Azure, including design, network, identity concepts, and Azure Landing Zones Implementing Adoption Framework and Well-Architected Framework Establishing IaC standards with Terraform, designing GitOps and CI/CD architectures, and enabling development teams through self-service platform approaches Integrating security-by-design and compliance requirements from the start, covering IAM, network segmentation, and secrets management, and supporting audits and security reviews together with InfoSec and Compliance Planning and accompanying migrations from on-premise or legacy systems into Azure, evaluating workloads for cloud-readiness, and applying cost-by-design principles to keep cloud spend transparent and efficient Reviewing and evaluating existing and new cloud concepts, contributing to architecture governance, creating and maintaining architecture documentation, and actively transferring knowledge to teams and stakeholders

Negotiation

View details