Chief Data Infrastructure Specialist
19 hours ago
DroneShield Group Pty Ltd is a leading company in the field of drone technology and electronic warfare. We are seeking a highly skilled Chief Data Infrastructure Specialist to join our team in Sydney.
About the CompanyWith an approximate market capitalisation of $1 billion, we are undergoing rapid growth, driven by the increasing use of drones for nefarious purposes. Our headquarters in Pyrmont, Sydney, is home to approximately 200 staff, with plans to expand to 300 by 2026. We have a presence in various countries, including the USA, Denmark, Germany, and Dubai, as well as distributors in over 70 countries worldwide.
Salary InformationWe offer a competitive salary range of AU$180,000 - AU$220,000 per annum, depending on experience.
Job DescriptionKey Responsibilities- Design, develop, and maintain robust data processing systems, particularly focusing on embedded sensors and large-scale raw data sources.
- Oversee innovation in automating manual processes, improving data pipelines, and redesigning infrastructure for scalability and improved efficiency.
- Deploy secure, scalable, and self-hosted data infrastructure, ensuring alignment with business needs and industry standards.
- Collaborate with cross-functional teams to understand data needs and deliver solutions supporting key business objectives.
- Provide technical leadership and mentorship to junior engineers, fostering a culture of continuous learning and development.
- Develop tools and systems for monitoring, analysing, and optimising data infrastructure performance.
- Lead efforts in developing and deploying machine learning models in production environments, ensuring high reliability and efficiency.
- Bachelor's or Master's degree in Computer Science, Engineering, or a related field.
- 5+ years of experience in data engineering, with at least 2+ years of leadership or team management experience.
- Proven experience working with Big Data, ideally with raw or sensor data (e.g., IQ, radar, lidar, video).
- Expertise in designing, building, and maintaining scalable data pipelines and workflow management tools (e.g., Dagster, DBT, or similar).
- Extensive experience with both relational (SQL) and NoSQL databases.
- Proficiency in Python and SQL is essential; experience with GoLang or C/C++ is a strong advantage.
- Experience with data pipeline orchestration, automation, and optimising infrastructure for performance.
- Knowledge of deploying machine learning models and working with machine learning pipelines (MLOps).
This role demands strategic oversight and hands-on expertise in creating scalable, efficient, and secure data systems, helping us derive meaningful insights, solve technical challenges, and deliver superior solutions to our clients.
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