Databricks Architect

Tiger Analytics is a fast-growing advanced analytics consulting firm looking for a Databricks Architect to design and implement best data practices. The role involves architecting Databricks on AWS/Snowflake integration, designing cost-managed multi-region Databricks MLOps platform, and implementing Unity Catalog for fine-grained access control.

Requirements

• Strong Experience in Data Architecture, specifically with Databricks Architecture.
• Expert in Databricks Lakehouse (Delta Lake, Unity Catalog, MLflow), AWS, Snowflake, and Apache Iceberg.
• Strong MLOps & CI/CD Expertise
• Proficient in Python/Scala (Spark) for data governance, security, and enterprise data platform design.
• Databricks certifications and GenAI architecture experience preferred.

Benefits

• Significant career development in a fast-growing and challenging entrepreneurial environment
• High degree of individual responsibility