Chief Engineer - Data Platforms
Sydney, NSW, Australia
AUD 60K-200K (estimate) Executive-level Full Time
Tasks
- Build ingestion transformation storage consumption frameworks
- Define data platform technical vision
- Design reference architectures
- Develop feature stores machine learning and AI workloads
- Drive coding standards and CI/CD templates
- Embed quality reliability performance observability cost efficiency
- Enforce data quality frameworks
- Ensure data engineering governance risk and compliance
- Evolve enterprise data engineering roadmap
- Lead batch streaming real time and ML AI architecture
- Lead pipeline and data product delivery
- Maintain data protection access control and ethical AI data use
- Mentor engineers and tech leads
- Translate business needs into scalable designs
Perks/Benefits
- Additional leave options
- Employee discounts
- Flexible work arrangements
- Tailored learning and development
- Volunteering opportunities
Skills/Tech-stack
Agile | Apache Airflow | Apache Kafka | Artificial Intelligence | Azure | Business Continuity | CI/CD | DBT | Data Governance | Data Ingestion | Data Quality | Data Storage | Data Transformation | Databricks | Delta Lake | DevOps | DevSecOps | Disaster Recovery | Informatica | Information security | Machine Learning | Observability | Snowflake | Teradata
Education
N/A
Regions
Countries
States
Cities
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