AI summary
Key Responsibilities
- Architect and maintain scalable data pipelines and lakehouse solutions on AWS, ensuring high availability and performance.
- Define and enforce data governance, quality, and security standards across the organisation.
- Collaborate with product, analytics, and engineering teams to translate business requirements into robust data models.
- Mentor and grow a high‑performing data engineering team, fostering a culture of continuous improvement.
- Drive innovation in data tooling, automation, and cost optimisation.
Requirements
- 10+ years of experience in data architecture and engineering, with a proven track record in large‑scale cloud deployments.
- Deep expertise in AWS services (Redshift, S3, Glue, Athena, Lake Formation) and ETL/ELT tooling.
- Strong command of SQL, Python, and modern data modelling techniques.
- Experience with data governance, security, and compliance frameworks.
- Excellent communication skills and a collaborative leadership style.