About the role
The candidate will have responsibilities across the following functions:
Leadership:
- Develop and execute the data strategy in alignment with the company's business goals.
- Lead and mentor a team of data engineers, data scientists, and analysts.
- Create a culture of data-driven decision-making; collaborate with senior leadership to influence company strategy and direction through data-driven insights.
Data Engineering:
- Design and implement scalable data pipelines to collect, process, and store data from various sources, especially high-throughput telemetry data from field sensors (IoT) and other multi-modal (text, images, video) data sources.
- Ensure data quality, integrity, and security across all data systems.
- Oversee the development of data architecture and infrastructure to support analytics and data science initiatives.
Data Governance and Management:
- Establish Data quality standards and procedures.
- Implement data governance policies and procedures.
- Develop and maintain data models and reporting systems that are open to business users.
Analytics and Data Science:
- Lead the development of advanced analytics and machine learning models to solve complex business problems.
- Implement MLOps - AI/ML/Gen-AI on top of the data platform.
- Drive the adoption of data-driven decision-making across the organisation.
Requirements:
- Bachelor's degree in Computer Science, Data Science, Engineering, or a related field.
- Proven experience within data engineering and analytics in product companies.
- Strong background in designing and implementing data pipelines and architectures especially on AWS stack (S3 iceberg, Redshift, sagemaker, Glue, MSK, RDS, QuickSight).
- Experience with large-scale data technologies, cloud platforms, AI/ML/Gen-AI platforms and data visualisation tools.
- Proficiency in programming languages such as Python, SQL, R, Spark or more and experience with machine learning frameworks and data architecture.
- Hands-on technology leader.
- Excellent leadership and team management skills.
- Strong analytical and problem-solving abilities.
- Ability to communicate complex technical concepts to non-technical stakeholders.