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Data Architect

SingaporeSingapore·Singaporemid
Data ArchitectData & AI
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Quick Summary

Key Responsibilities

Define and design end-to-end data architecture across data ingestion, storage, processing, and consumption layers. Translate business requirements into scalable, secure,

Requirements Summary

Define and design end-to-end data architecture across data ingestion, storage, processing, and consumption layers. Translate business requirements into scalable, secure,

Technical Tools
Data ArchitectData & AI
Singapore, Central Singapore, Singapore

2026-07-07

Hitachi Rail Singapore Pte. Ltd.,

IT, Telecom & Internet

Full time

No

A career at Hitachi Rail will help create a legacy. With operations in every corner of the world, our work goes to the cutting-edge of digital transformation and technology. From the multi-cultural strength of our global organisation to the sustainable and innovative ways we work to bring people together, there’s something for everyone to get stuck into. And that’s where you come in.

Our motivation is the mobility turnaround. To achieve this, our teams find innovative products and solutions that ensure the operation and reliability of the entire rail network and increase capacities on the rails.

Our projects are diverse. To make our teams even stronger, we are looking for your support. In return, we offer you an attractive overall package with the following benefits:

  • Stronger together: Networking through internal networks and working in international teams
  • Our drive: Together, we are laying the foundations for the digitization of the rail around the world, to get people safely to their destinations and to their loved ones!
  • Attractive conditions: A secure and permanent job with a global company

As Hitachi Rail Singapore, we are advancing rail signalling and safety solutions to ensure safe and efficient railway operations worldwide.

Our technologies help to bring billions of people reliably to their destinations by rail every year – making sustainable mobility a reality.

Hitachi Rail is seeking an enthusiastic and self-motivated Data Architect with strong experience in designing and delivering scalable data solutions. The ideal candidate brings deep expertise in data architecture, data platforms, and analytics ecosystems, combined with solid leadership capabilities.

This role is responsible for defining robust, secure, and high-performance data architectures to support asset management and predictive maintenance solutions. The Data Architect will ensure data is structured, governed, and accessible to enable advanced analytics and data-driven decision-making. The candidate will collaborate closely with cross-functional teams to translate business requirements into effective data solutions and drive the advancement of Hitachi Rail’s HMAX initiatives.

Responsibilities

~1 min read
  • →Define and design end-to-end data architecture across data ingestion, storage, processing, and consumption layers.
  • →Translate business requirements into scalable, secure, and high-performance data solutions.
  • →Develop and maintain data models (conceptual, logical, physical) to support analytics and operational use cases.
  • →Design and enable data platforms (data lakes, warehouses, lakehouse architectures) for structured and unstructured data.
  • →Establish data integration frameworks, including ETL/ELT pipelines, APIs, and streaming solutions.
  • →Ensure data governance, quality, lineage, and compliance across the data lifecycle.
  • →Embed data security principles (access control, encryption, data protection) into architecture design.
  • →Support predictive analytics and data-driven use cases through well-structured and accessible data environments.
  • →Provide technical leadership across data initiatives, ensuring best practices and standards are applied.
  • →Collaborate with stakeholders and act as a trusted advisor on data strategy and architecture.

  • Bachelor or Master Degree in Computer Science/Computer Engineering or related field.
  • Strong experience in data architecture and data platform design.
  • Proven expertise in cloud data platforms (e.g., AWS, Azure, GCP), including modern data architectures.
  • Hands-on knowledge of data processing frameworks (e.g., Spark) and large-scale data handling.
  • Experience with data lakes, data warehouses, and lakehouse architectures.
  • Solid understanding of data integration patterns (ETL/ELT, APIs, streaming, messaging).
  • Familiarity with data governance frameworks, metadata management, and data quality practices.
  • Knowledge of data security and privacy principles, including IAM, encryption, and compliance.
  • Experience with DevOps/DataOps practices, including CI/CD and automation for data pipelines.
  • Understanding of distributed systems and scalable data architectures.
  • Experience with monitoring, logging, and observability for data platforms.
  • Exposure to predictive analytics or data-driven solutions is an advantage.
  • Strong analytical, problem-solving, and communication skills with cross-functional collaboration experience
  • Proficiency in Italian would be an advantage for communication with Italian-speaking stakeholders.

  

We look forward to receiving your application in just a few clicks via our career portal.

For further information about Hitachi Rail as an employer visit us on www.hitachirail.com/careers

Equal opportunities and self-determined participation of severely disabled persons and persons of equal status as well as respectful cooperation are firmly anchored principles within Hitachi Rail and its subsidiaries. We also aim to offer all our equal opportunities to start a career and to receive training and further education in our company. We consciously promote diversity and togetherness in our teams.

Location & Eligibility

Where is the job
Singapore, Singapore
On-site at the office
Who can apply
Open to applicants worldwide

Listing Details

First seen
September 29, 2026
Last seen
September 29, 2026

Posting Health

Days active
0
Repost count
0
Trust Level
56%
Scored at
September 29, 2026

Signal breakdown

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Data Architect