Data Architect

HITACHI ENERGY SINGAPORE; Singapore; On-site; SGD 120,000 - 180,000; Full time

Job summary

HITACHI ENERGY SINGAPORE is seeking a Senior Data Architect to define end-to-end data architecture across ingestion, storage, processing, and consumption layers. You will translate business requirements into scalable, secure data solutions and lead the design of data lakes, warehouses, and lakehouse platforms.

The role emphasizes data governance, security, and collaboration with stakeholders to enable predictive analytics and data-driven initiatives, with proficiency in cloud platforms and Spark.

Qualifications

• 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.

Responsibilities

• 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.

Skills

Data architecture

Data platforms

Cloud data platforms

Data modeling

ETL/ELT

APIs & streaming

Data governance

IAM & encryption

DevOps/DataOps

Monitoring & observability

Distributed systems

Stakeholder collaboration

Italian language

Education

Bachelor or Master Degree in Computer Science/Computer Engineering or related field

Tools

Spark

Job description

You will enjoy having these responsibilities:

• 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.

You have:

• 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.