Jon Searle
About Jon Searle
Jon Searle is a Lead Engineer and Data Architect specializing in AWS cloud-based reporting and data analytics at MTData in Melbourne, Australia. He has extensive experience in designing scalable data solutions and has held various technical roles in the field since 2014.
Work at MTData
Jon Searle serves as the Lead Engineer and Data Architect at MTData, a position he has held since 2020. In this role, he focuses on AWS cloud-based reporting and data analytics. His responsibilities include designing and implementing scalable data solutions utilizing serverless frameworks and AWS Cloud Development Kit (CDK). His expertise in AWS services supports the development of efficient data processing systems.
Current Role at dataIdeas
Since 2016, Jon Searle has been the Director at dataIdeas, where he oversees various data-related initiatives. His leadership role involves guiding teams in the development of data solutions and analytics strategies. His extensive experience in data architecture informs his approach to managing projects and teams within the organization.
Education and Expertise
Jon Searle studied at Monash University, where he earned a Bachelor of Science with Honours in Computer Science and Applied Mathematics. His educational background provides a strong foundation for his work in data analytics and engineering. He is skilled in using Python and Pandas for data manipulation, and he employs Test-Driven Development (TDD) methodologies in his projects.
Professional Background
Jon Searle has held various roles in the data and analytics field. He worked as a Business Intelligence Technical Leader at McAleese Group for two months in 2014 and as a Senior Technical Analyst at Sensis from 2015 to 2016. His experience also includes positions at Arc Technologies Group, nbn™ Australia, Woodside Energy, and Carlton & United Breweries, where he contributed to data-driven projects and solutions.
Achievements in Data Architecture
Jon Searle has extensive experience in designing IoT analytics platform architecture using AWS services, including Glue, Athena, and Redshift. He is proficient in implementing data DevOps practices to enhance data operations and has a strong background in event-driven and Data Vault modeling techniques. His technical skills include using API Gateway and AWS Lambda to create efficient data processing pipelines.