
Senior Cloud Data Architect
2 days ago
We are seeking experienced Lead Data Engineers to support the ongoing delivery and uplift of cloud-based data platforms and analytics services.
This is a leadership opportunity for senior engineers who have experience in designing, developing, and testing ETL/ELT pipelines using Azure Data Factory, Databricks, and related tools. The successful candidate will be responsible for leading and mentoring other engineers, including code reviews and feedback on best practices.
- Design, develop, and test ETL/ELT pipelines using Azure Data Factory, Databricks, and related tools.
- Build and optimise data storage solutions (e.g. Azure SQL, Data Lake, Delta/Parquet).
- Enable advanced analytics use cases across large and complex datasets.
- Support operational decision-making through reliable, high-quality data pipelines.
- Lead and mentor other engineers, including code reviews and feedback on best practices.
- 5+ years of experience in data engineering, ideally with leadership or mentoring exposure.
- Strong experience designing and building ETL/ELT solutions in cloud environments (Azure preferred).
- Experience with distributed computing engines (e.g. Spark, Databricks) and data modelling for performance.
- Hands-on experience across tools such as Azure Data Factory, SQL Server, Data Lake Storage, Visual Studio, and DevOps.
- Deep understanding of cloud-based data services, including ingestion, transformation, storage, and analytics.
- Excellent communication and stakeholder engagement skills.
- Must hold (or be eligible to obtain) Baseline security clearance.
A comprehensive benefits package that includes opportunities for professional growth and development.
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