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Cloud Data Engineering Solution Architect - TAL
Solutions Architect
Lead the design and implementation of scalable cloud data platforms using AWS, Spark, and Python, driving data lake architecture and ETL pipelines to empower data-driven decision making.
About the role
Key Responsibilities
- Architect and deliver end‑to‑end cloud data solutions on AWS, ensuring high availability, security, and cost efficiency.
- Design and optimize data lake structures, ETL workflows, and data pipelines using Spark, Python, and SQL.
- Collaborate with data scientists, analysts, and business stakeholders to translate requirements into scalable data architectures.
- Implement best practices for data governance, metadata management, and data quality across the platform.
- Mentor and guide junior engineers, fostering a culture of continuous improvement and knowledge sharing.
Requirements
- 5+ years of experience in cloud data engineering, with a strong focus on AWS services (S3, Glue, Redshift, Athena).
- Proficiency in Python, Spark, and SQL for data processing and transformation.
- Hands‑on experience designing data lake architectures and building robust ETL pipelines.
- Solid understanding of data governance, security, and compliance best practices.
- Excellent communication skills and a proven ability to work cross‑functionally in a fast‑paced environment.