Data Architect

Infosys Singapore & Australia; Singapore; On-site; SGD 120,000 - 160,000; Full time

Job summary

A leading technology consulting firm in Singapore is seeking a highly experienced Data Architect with 12-15 years of experience in data engineering. The role involves designing scalable data architectures, optimizing pipelines, and managing data engineers. Ideal candidates will possess strong skills in ELT methodologies and technologies like PySpark and Hadoop. Excellent communication and problem-solving skills are essential. This position offers opportunities for business growth and stakeholder management.

Qualifications

• 12-15 years of experience in data engineering, focusing on ELT and PySpark/Hadoop workloads.
• Strong experience in designing secure data architectures.
• Experience in managing and mentoring data engineers.

Responsibilities

• Design and implement high-performance data architectures.
• Work with stakeholders to understand data needs.
• Optimize data pipelines for performance.

Skills

Strong problem-solving skills

Excellent communication skills

Experience with cloud computing platforms

Experience with ELT principles

Experience with PySpark/Hadoop

Tools

AWS

Azure

GCP

Spark

Hadoop

Job description

We are looking for a highly experienced and skilled Data Architect to join our team. The ideal candidate will have 12-15 years of experience in architecting solutions of data engineering, focusing on ELT and PySpark/Hadoop workloads. In addition to strong solution and delivery skills, the ideal candidate will also have a view on business growth and managing stakeholders.

Responsibilities:

• Design and implement high-performance, scalable, and secure data architectures.
• Work with business stakeholders to understand their data needs and translate them into technical requirements.
• Design and develop data pipelines and workflows using ELT principles and PySpark/Hadoop
• Optimize data pipelines and workflows for performance and efficiency
• Work with data scientists and engineers to ensure that data is accessible and usable for analytics and machine learning
• Implement data governance and security best practices
• Manage and mentor data engineers
• Contribute to the overall data engineering strategy and roadmap

Qualifications:

• 12-15 years of experience in data engineering, with a focus on ELT and PySpark/Hadoop workloads
• Strong experience in designing and implementing high-performance, scalable, and secure data architectures.
• Experience with data governance and security best practices
• Experience in managing and mentoring data engineers
• Excellent communication and interpersonal skills
• Ability to work independently and as part of a team
• Strong problem-solving and analytical skills

Desired Skills:

• Experience with cloud computing platforms such as AWS, Azure, or GCP
• Experience with big data technologies such as Spark, Hadoop, Hive, and Kafka
• Experience with data warehousing and data lakes
• Experience with DevOps and MLOps practices

• Experience with data science and machine learning, streaming data processing
• Experience with real-time analytics, data visualization and reporting tools