Senior Global AI Data Architect
Skills
- Expertise in data architecture and governance frameworks across multiple business units.
- Advanced proficiency in SQL, NoSQL databases, and modern data warehousing solutions.
- Hands-on experience with AWS, Azure, or GCP data services including optimization and tuning.
- Programming skills in Python, SQL, and scripting languages for data processing.
- Strong leadership and communication skills to drive strategic data transformation.
- Knowledge of data privacy regulations and security best practices.
- Experience implementing data validation and quality assurance at scale.
Responsibilities
- Lead organization-wide data transformation with standardized collection, governance, and accessible, searchable data architecture.
- Collaborate with teams to catalog data assets and establish comprehensive data inventories.
- Implement data lineage tracking, quality monitoring, and validation systems.
- Design backup, recovery, and archiving strategies including disaster recovery plans.
- Evaluate and integrate technology platforms focusing on API readiness and data governance tools.
- Coordinate cross-network analytics and data initiatives with parent company teams.
- Architect data warehouses and ETL pipelines for current and future AI analytics needs.
- Build monitoring systems for data pipeline health, performance, and cost efficiency.
- Implement CI/CD practices for automated deployment and updates of data infrastructure.
- Ensure compliance with privacy regulations such as GDPR and CCPA in all architecture decisions.
Education
- Bachelor's degree in Computer Science, Data Science, Information Systems, or related technical field.
Benefits
- LifeTime benefits program including flexible time off and enhanced family care.
- Generous health and wellness benefits.
- Workplace hybrid flexibility.
- Monthly LifeTime stipend for gym or hobbies.
Average salary estimate
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