Sr. Enterprise Data Architect
Tasks
- Build integration prototypes and proof of concept
- Collaborate with engineering teams on implementation
- Define end to end data ingestion and transformation patterns
- Define metadata lineage and governance standards
- Design secure scalable governed data access patterns
- Develop semantic modeling and retrieval architectures
- Drive adoption of enterprise data and AI standards
- Establish data quality and lifecycle management practices
- Lead enterprise data and AI architecture design
- Orchestrate model inference and deployment patterns
Perks/Benefits
- Family care resources
- Health and wellness benefits
- Hybrid work schedule
- Online therapy
- Paid time off
- Retirement plan
- Volunteering days
Skills/Tech-stack
API Development | API Orchestration | AWS | Advanced Analytics | CI/CD | Cloud Computing | Data Governance | Data Ingestion | Data Lineage | Data Quality | Data Transformation | Generative AI | Infrastructure as Code | Machine Learning | Metadata Management | Operational Monitoring | Python | Semantic Modeling | Snowflake | “as-code”
Education
Bachelor of Engineering | Bachelor of Science | Master of Science
Roles
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