Quick overview
Job description
Data Architect to support its Data Acceleration initiative. This individual will lead the design, governance, and evolution of enterprise data platforms and solutions. The ideal candidate will have strong expertise in Snowflake, data modeling, data governance, and modern cloud-based data architectures.
Required Skills
- Snowflake Architecture and Administration
- Advanced SQL
- Data Architecture
- Data Modeling (Conceptual, Logical, Physical)
- Data Analysis & Data Transformation
- Data Governance & Data Security
- Enterprise Data Warehousing
- Strong Documentation and Communication Skills
Preferred Skills
- Matillion (Maia)
- Atlan
- DBT
- Confluent Cloud
- Snowflake Openflow
- ERWIN
- ER/Studio
Additional Desired Experience
- Oracle, SQL Server, Azure SQL, MongoDB
- Python
- GitHub, CI/CD
- Informatica
- JIRA
- Agile/Scrum
- GitHub Copilot, Snowflake Cortex/Copilot, Claude Code
Key Responsibilities
- Design and maintain enterprise data architectures and standards.
- Develop logical, conceptual, and physical data models.
- Architect and optimize Snowflake-based data solutions.
- Establish data governance, lineage, metadata, quality, and security frameworks.
- Partner with business stakeholders and technical teams to deliver scalable data solutions.
- Define standards for data ingestion, transformation, integration, and consumption.
- Provide technical leadership for ELT and data integration initiatives.
- Ensure compliance with security, privacy, and regulatory requirements.
- Create architecture documentation and technical specifications.
- Mentor engineers and analysts on architecture and governance best practices.
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