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:

Featured Job

(Senior) Embedded Security Engineer – Linux / Android Platforms

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

  • Security
  • Embedded

Security Architecture & Engineering: Design and implement security features for embedded platforms, contribute to security architecture definition, and perform security architecture reviews and threat modeling. Security Implementation & Hardening: Implement security hardening for Linux / Android / QNX systems, conduct secure code reviews, and support integration of access control and system hardening mechanisms (e.g. SELinux, AppArmor). Threat Modeling & Reviews: Identify risks, define mitigation strategies, and drive security improvements early in the development lifecycle. Testing & Validation: Perform security testing and validation, and ensure compliance with relevant security standards and best practices.

Negotiation

View details

Senior Java Software Engineer

Ho Chi Minh - Viet Nam

Outsource

  • Java

Plan, create, assess, implement, and oversee Java applications and services for production and pre-release environments; Plan, create, assess, implement, and supervise continuous integration, build management and deployment scripts, systems, and coding as necessary; Engage in Agile software development, prototyping, and code review with global development teams to construct scalable microservices-based products and APIs using Java technologies on AWS Cloud architecture; Have a thorough understanding of customer or business needs and use this insight to develop applications aligned with those requirements; Collaborate with delivery teams to accomplish development success through CI/CD and DevOps techniques, procedures, and tools; Deliver robust coding practices, thorough unit/component test coverage, and code debugging.

Negotiation

View details

Featured Job

Lead Data Engineer

Ho Chi Minh, Ha Noi - Viet Nam

Outsource

  • Data Engineering
  • Management

Design, create, and maintain scalable data infrastructure, which includes data lakes, pipelines, and metadata repositories, to ensure accurate and timely delivery of data to stakeholders. Collaborate with data scientists to develop and maintain data models, integrate data sources, and facilitate machine learning workflows and experimentation environments. Build and enhance large-scale, batch, and real-time data processing systems to improve operational efficiency and align with business goals. Use Python, Apache Airflow, and AWS services to automate data workflows and processes, ensuring efficient scheduling and monitoring. Utilize AWS services like S3, Glue, EC2, and Lambda to manage data storage and compute resources, striving for high performance, scalability, and cost-effectiveness. Implement comprehensive testing and validation methods to guarantee the reliability, accuracy, and security of data processing workflows. Keep updated on the latest industry best practices and emerging technologies in data engineering and data science to suggest innovative solutions and enhancements.

Negotiation

View details