What you'll be responsible for
- Driving Architectural Design: Design, build, and maintain a reporting platform that integrates with high volume database technologies (TSDB/OLAP) and provides custom BI capabilities, ensuring scalability, performance, and reliability.
- Develop and Optimise Data Pipelines: Create data transformation pipelines to summarise and pre-calculate large volumes of data for efficient querying and reporting.
- Ensure High Standards of Quality: Maintain robust testing and CI/CD pipelines, write high-quality and secure code, and implement QA best practices.
- Solve Complex Problems: Confidently debug and optimise complex issues across services, data pipelines, and the stack.
- Technical Leadership: Provide architectural direction, make pragmatic decisions on technical trade-offs, and mentor team members.
- Stakeholder Collaboration: Work closely with the product team to define, refine, and deliver user stories that translate into impactful reporting features.
Experience and skills we look for
- Proven Experience in Data-Intensive Systems: Strong track record in designing and building reporting systems, including data pipelines, TSDB/OLAP, or similar architectures.
- Expertise in Backend Development: Experience building APIs and services, preferably in Ruby, but open to other languages with the ability to quickly learn new ones.
- Data Engineering Knowledge: Familiarity with ETL pipelines, data modelling, and pre-aggregation techniques to handle large datasets.
- Analytical Thinking: Ability to debug, optimise, and solve problems across complex systems and services.
- CI/CD and Testing: Deep understanding of CI/CD pipelines and testing frameworks to ensure the reliable delivery of high-quality software.
- Leadership and Collaboration: Experience guiding technical projects, mentoring engineers, and collaborating across teams.
Additional Skills that set you apart
- Experience with time-series databases (e.g., Amazon Timestream, InfluxDB, TimescaleDB) or scalable analytics platforms.
- Knowledge of business intelligence tools (e.g., Power BI, Tableau, or Looker) for custom report development.
- Hands-on experience with AWS services for data processing and secure storage, particularly in GovCloud or IL5-compliant environments.
- Familiarity with AI/ML tools and workflows, particularly in the context of data analytics and reporting.
- Strong understanding of database optimisation, caching strategies, and performance tuning.
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What We Do
Kitman Labs is the industry leading sports analytics company, using artificial intelligence to increase athlete performance and health. Teams around the world in the NFL, NBA, NHL, EPL, Bundesliga, AFL, NRL and more rely on Kitman Labs' powerful insights to put their best team on the field and outperform the competition.
Forged in professional sport and powered by some of the brightest data scientists in the world, Kitman Labs is committed to continual innovation to solve the toughest problems in human performance and unlock the connection between performance, health, and training.
More than just a technology provider, we are known for our superior customer support, research-backed thought leadership, and bringing together some of the best minds in the industry to share, challenge and advance performance practices.







