You will design and maintain end-to-end data architecture strategies to support scalability, security, and business goals.
This role is on-site.
Responsibilities
- Develop conceptual, logical, and physical data models for databases, data warehouses, and data lakes.
- Lead the design and implementation of scalable data pipelines for ingesting and processing diverse data sources.
- Oversee ETL processes to integrate structured and unstructured data across the organization.
- Implement data governance, quality, and stewardship practices to ensure compliance with privacy regulations like GDPR and CCPA.
- Optimize data systems for high availability, performance, and security through encryption and masking.
Required Skills
- 10+ years of experience in data architecture, data engineering, or data management.
- Expertise in data architecture design and large-scale data engineering.
- Proficiency with SQL for structured data management.
- Experience managing unstructured data using NoSQL and Hadoop.
- Hands-on experience with cloud platforms including AWS, Azure, or Google Cloud.
- Proven track record in data modelling and database design.
- Strong understanding of data governance and compliance frameworks.
- Ability to build and optimize complex data pipelines and datasets.
Preferred Skills