Tiger Analytics

Tiger Analytics

Tiger Analytics is a leading advanced analytics consulting firm partnering with Fortune 100 companies to drive business value through expertise in marketing science, customer analytics, and operations analytics.

Professional Services
1K-5K
Founded 2011

Description

  • Architect and strategize Databricks integrations on AWS and Snowflake for secure, scalable data and AI platforms.
  • Design seamless data flow between Snowflake and Databricks through Apache Iceberg, including ML output movement.
  • Design and manage a cost-optimized, multi-region Databricks MLOps platform and associated data flows.
  • Implement Unity Catalog for fine-grained access control and secure workspace coexistence.
  • Develop Databricks-native MLOps processes, including environment parity, Git-driven CI/CD, governed access, MLflow governance, standardized deployment, and monitoring.
  • Define enterprise-scale AI governance for production GenAI deployment.
  • Establish and implement best data practices for Databricks architecture.
  • Support secure data governance and enterprise data platform design using Python or Scala with Spark.

Requirements

  • Strong experience in data architecture, specifically Databricks architecture.
  • Expertise in Databricks Lakehouse components, including Delta Lake, Unity Catalog, and MLflow.
  • Experience with AWS, Snowflake, and Apache Iceberg.
  • Strong MLOps and CI/CD expertise.
  • Proficiency in Python or Scala with Spark.
  • Experience in data governance, security, and enterprise data platform design.
  • Databricks certifications preferred.
  • GenAI architecture experience preferred.

Benefits

  • Opportunity for significant career development.
  • Fast-growing and challenging entrepreneurial environment.
  • High degree of individual responsibility.
  • Remote work location (#LI-remote).

Interested in this position?

Apply directly on the company website

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