Data Engineer Architect, Glia

• Proven ability to architect and build highly reliable, scalable, maintainable and secure data systems for near real-time (seconds) and historical data
• Experience with stream processing and queuing systems (Kafka, RabbitMQ, Kinesis)
• In-depth understanding of data modeling techniques and distributed data processing architectures
• 5+ years of engineering experience working hands-on with large volumes of data
• Excellent written and spoken English communication skills

Desirable

• Drive the long-term technical strategy and vision for the organisation, ensuring its alignment with business objectives
• Make high-level architectural and design decisions with broad-reaching impact, influencing the overall direction of the organisation’s technology
• Provide technical guidance and mentorship to engineers at all levels, fostering a culture of growth and continuous improvement
• Contributing to the code base and doing code reviews
• Creating and maintaining a scalable data pipeline architecture for real-time and historical insights
• Building the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources
• Creating data tools that assist our analytics team in building and optimising our product and business processes
• Continuously evolving and improving our architecture to support business needs and growth challenges
• Assuring the security and compliance regulations are met for our customers' data