Principal Data Architect — Databricks Enablement

Tasks

• Build semantic and lineage layers
• Conduct technical interviews
• Define Databricks adoption plans
• Design data governance standards
• Design semantic layer
• Establish platform guardrails
• Implement high priority Databricks use cases
• Mentor architects and engineers
• Participate in pre sales data architecture scoping
• Provide Databricks best practice coaching
• Translate client needs into platform requirements

Perks/Benefits

• Equipment and office stipend
• Flexible PTO
• Learning and development stipend
• Paid training and exams
• Professional development plan
• Remote work
• Travel up to 25 percent

Skills/Tech-stack

Apache Spark | BI Dashboards | CI/CD | Data Governance | Data Lineage | Data Management | Data Migration | Data Modeling | Data Testing | Data Versioning | DataOps | Database Design | Databricks | GenAI | Infrastructure as Code | Lakehouse | MLOps | Machine Learning | Machine Learning Pipelines | Master Data | Master Data Management | NoSQL | Python | Relational Database | Relational Database Design | Semantic layer | Streaming | Terraform | Unity Catalog | “as-code”