Data Architect
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Before you apply
LocationSingapore, Singapore, Singapore
Work modeon-site
Typefull-time
SeniorityLead
Experience12–15 yrs
DepartmentAIX-AI & ML
Company size10,000+ people
PostedOct 3, 2023 · 3y ago
Verified live1d ago
May no longer be actively hiring
Posted by the company on Oct 3, 202380% of this company's open roles have been listed for 90+ days
At a glanceSummarised by Seekless from the posting.
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
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
Skills
PySpark
Hadoop
AWS
Azure
GCP
Spark
Hive
Kafka
About the role
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
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
Nice to have
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