onsite
Data Architect - 66degrees
Software Engineer
Lead the design and implementation of enterprise data solutions on AWS, driving data architecture, ETL pipelines, and data modeling to enable AI and analytics initiatives.
About the role
Key Responsibilities
- Design and maintain scalable data architectures on AWS, ensuring high availability and performance.
- Develop and optimize ETL pipelines to ingest, transform, and load data from diverse sources into data warehouses.
- Model data using dimensional and relational techniques to support reporting, analytics, and machine learning workloads.
- Collaborate with data scientists and business stakeholders to translate analytical requirements into robust data solutions.
- Implement security, governance, and compliance controls across the data platform.
Requirements
- 5+ years of experience in data architecture and big data engineering.
- Proficiency with AWS services such as Redshift, S3, Glue, and Athena.
- Strong SQL skills and experience with ETL tools (e.g., dbt, Airflow).
- Knowledge of data modeling best practices and experience with both relational and NoSQL databases.
- Familiarity with machine learning pipelines and AI integration in data workflows.
Skills
awssqlmachine learning