Description

Design and implement enterprise-wide data architecture solutions, including scalable data warehouses, data lakes, and lakehouse environments.

This role is hybrid.

Responsibilities

• Develop conceptual, logical, and physical data models to support business requirements.
• Define and execute data integration strategies using ETL/ELT pipelines.
• Establish standards for data governance, quality, metadata, and master data management (MDM).
• Optimize database performance, storage efficiency, and data processing workflows.
• Collaborate with business teams to translate requirements into technical solutions and mentor data engineers.

Required Skills

• 8+ years of experience in data engineering, database administration, or data architecture.
• Strong expertise in SQL, relational databases, and database design.
• Proven experience designing data warehouses, data lakes, and lakehouse architectures.
• Hands-on experience with cloud platforms such as AWS, Azure, or Google Cloud Platform (GCP).
• Proficiency in Python or Java for data processing and integration.
• Deep knowledge of ETL/ELT frameworks and data integration tools.
• Experience with API integration and performance tuning.
• Bachelor's degree in Computer Science, IT, Engineering, or a related field.

Key Skills

Education

Any Graduate