Databricks Architect
USD 180K-248K (estimate) Senior-level Full Time
Tasks
- Build data models for marketing analytics
- Design and own Databricks lakehouse architecture
- Design conversational analytics experiences
- Develop data ingestion transformation and storage pipelines
- Enable AI driven customer 360 solutions
- Implement data governance security and access control policies
- Integrate Databricks with martech platforms
- Integrate Databricks workflows into CI CD pipelines
- Lead client data architecture sessions
- Manage infrastructure as code for notebooks jobs and clusters
- Partner on roadmaps POCs and migrations
- Review technical capability maps and frameworks
- Support AI agent architecture and implementation
- Support pre sales technical proposals and estimation
Perks/Benefits
- 401k company match
- Flexible PTO
- In-person onboarding
- Medical, dental, vision and life insurance
- Mental well-being support
- Monthly tech stipend
- Paid parental leave
Skills/Tech-stack
AI Agent framework | AI Agents | AWS | Access Control | Adobe | Agent Bricks | Agent Framework | Audit Logging | Azure | Azure DevOps | Braze | Data Governance | Data Vault | Databricks | Databricks SQL | Databricks SQL Warehouse | Delta Lake | Delta Live Tables | Delta Live) | GCP | Git | Infrastructure as Code | Lakehouse | Lineage Tracking | MLflow | Marketing Cloud | Medallion Architecture | Mosaic AI | Mosaic AI Agent Framework | PII masking | PySpark | Responsys | SQL | SQL Warehouse | Salesforce Marketing | Salesforce Marketing Cloud | Scala | Star Schema | Structured Streaming | Terraform | Unity Catalog | “as-code”
Education
N/A
Roles
Architect | Data Architect | Data Engineer | Databricks Architect | Engineer
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