Infosys

Global digital services and consulting provider

Data Architect

Data EngineeringConfirmed live in the last 24 hours

Full-timeSingaporeNo salary listedIn-person

About the Job

Requirements

12–15 years of experience in data engineering, focusing on ELT and PySpark/Hadoop workloads.
Strong experience designing and implementing high-performance, scalable, and secure data architectures.
Experience with data governance and security best practices.
Experience managing and mentoring data engineers.
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, and streaming data processing.
Experience with real-time analytics, data visualization, and reporting tools.

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.

Desired Qualifications

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, and streaming data processing.
Experience with real-time analytics, data visualization, and reporting tools.

Data Architect

Infosys Singapore & Australia · Singapore, Singapore · Full-time · Posted 2023-10-03

Workplace: on_site

Department: AIX-AI & ML

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

Requirements

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

Apply

Apply at Infosys Singapore & Australia

About the Company

Infosys

Global digital services and consulting provider

Infosys is a global provider of digital services and consulting. It helps organizations with software development, cloud solutions, data and analytics, automation, and AI-powered platforms to transform their technology and business operations. The company primarily delivers these capabilities through client projects, outsourcing, and managed services, rather than selling a single standalone product. Infosys differentiates itself by its long-standing global reach (present in over 50 countries) and its breadth of offerings, including a dedicated consulting arm and a business process outsourcing unit, which together cover strategy, design, development, and ongoing operations. Its goal is to guide clients through digital transformation and AI adoption at scale, helping them improve efficiency, agility, and competitiveness over the long term.

Company size: 10,001+
Company stage: IPO
Headquarters: Bengaluru, India
Founded: 1981

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