Description

Design, build, and manage scalable data architectures supporting analytics and advanced data use cases.

This role is hybrid.

Responsibilities

• Design and maintain enterprise-scale data architectures, including data warehouses and data lakehouse solutions.
• Create and manage conceptual, logical, and physical data models aligned with business requirements.
• Develop and review ETL/ELT pipelines to ensure reliable and efficient data ingestion and transformation.
• Collaborate with data engineers and ML engineers on model deployment pipelines, data quality checks, and monitoring.
• Ensure data governance, data quality, security, and compliance standards are met across data platforms.

Required Skills

• 12+ years of overall experience in data engineering, data management, or analytics.
• 2+ years of experience specifically as a Data Architect.
• Strong proficiency in SQL and PySpark.
• Hands-on experience with AWS data services (S3, Athena, Redshift, Glue).
• Practical experience with ETL and ELT data engineering methodologies.
• Experience designing and modeling data warehouses.
• Proficiency with data modelling principles.
• Experience utilizing GitHub for version control.

Key Skills

Education

Any Graduate