Databricks Architect

Tiger Analytics is a fast-growing advanced analytics consulting firm. Our consultants bring deep expertise in Data Science, Machine Learning and AI. We are the trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our business value and leadership has been recognized by various market research firms, including Forrester and Gartner. We are looking for top-notch talent as we continue to build the best analytics global consulting team in the world.

This role will be responsible for Databricks Architecture, Designing and implementing best data practices. 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.

• Architect and strategize?Databricks?on AWS/Snowflake integration for secure, scalable?data/AI platforms.
• Architect seamless Snowflake/Databricks?data?flow via Apache Iceberg (including ML output).
• Design cost-managed multi-region?Databricks?MLOps platform and?data?flows.
• Implement Unity Catalog for fine-grained access control and secure team coexistence with Workspaces.
• Develop?Databricks-native MLOps (environment parity, Git-driven CI/CD, governed access, MLflow governance, standardized deployment, monitoring).
• Define enterprise-scalable AI governance for GenAI production deployment.

Benefits This position offers an excellent opportunity for significant career development in a fast-growing and challenging entrepreneurial environment with a high degree of individual responsibility.

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