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Data Architect Lead

2 months ago

Singapore Infosys Singapore & Australia Full time

We are seeking a highly skilled Data Architect to lead our data engineering efforts. The ideal candidate will have extensive experience in architecting solutions for data engineering, focusing on ELT and PySpark/Hadoop workloads.

Key Responsibilities:

  • Design and implement high-performance, scalable, and secure data architectures.
  • Collaborate with business stakeholders to understand their data needs and translate them into technical requirements.
  • 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:

  • 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.