Information Management Data Architect
USD 126K-188K Senior-level Full Time
Tasks
- Architect Databricks and Snowflake interoperability
- Build self service developer experiences
- Conduct discovery workshops and proofs of concept
- Configure Model Serving and AI agent framework
- Create templates and documentation for model development
- Define end-to-end platform architecture
- Design ModelOps lifecycle governance
- Design row column level access and masking
- Enable bi directional data access and feature sharing
- Enforce least privileged access and data governance
- Establish reference architectures and patterns
- Implement Apache Iceberg integration
- Implement platform and solution observability
- Lead Unity Catalog governance design
- Manage MLflow versioning and model deployment
- Mentor and upskill team members
- Optimize compute clusters and jobs
- Perform technology evaluations
- Set tagging coverage and chargeback showback
Perks/Benefits
Skills/Tech-stack
AI Agent | AI Agent framework | Agent Framework | Apache Iceberg | Apache Spark | Asset bundles | Column-Level Security | Data Classification | Data Lineage | Data masking | Databricks | Databricks (asset) | Databricks Asset Bundles | Delta Lake | Delta Live Tables | Delta Live) | Dynamic data | Dynamic data masking | ELT | ETL | FinOps | Infrastructure as Code | Lakeflow | Lakehouse | Least Privilege | Least-privilege access | MLflow | Model Serving | Observability | Privilege Access | Row Level Security | Snowflake | Terraform | Unity Catalog | “as-code”
Education
Bachelor of Arts | Bachelor of Engineering | Bachelor of Science
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