Tiger Analytics

Databricks Architect

Tiger Analytics • $135K — $160K *
US-AnywhereRemote in United States
Information Technology
Less than 5 years of experience
Today
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Job Overview by Ladders

Qualifications

  • Strong experience in Data Architecture focused on Databricks.
  • Expertise in Databricks Lakehouse, AWS, Snowflake, and Apache Iceberg.
  • Solid MLOps and CI/CD skills.
  • Proficient in Python/Scala (Spark) for data governance and design.
  • Databricks certifications and GenAI architecture experience are preferred.

Responsibilities

  • Architect Databricks on AWS/Snowflake for secure, scalable data/AI platforms.
  • Integrate seamless Snowflake/Databricks data flow via Apache Iceberg.
  • Design and manage cost-efficient multi-region Databricks MLOps platforms.
  • Implement Unity Catalog for access control and secure Workspaces.
  • Develop Databricks-native MLOps for governed access and monitoring.
  • Define AI governance for GenAI production deployments.

Benefits

  • Significant career development opportunities in a fast-growing environment.
  • High level of individual responsibility.
  • Remote work flexibility.
Full Job Description
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.


Key Responsibilities:
    • 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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About Tiger Analytics

Tiger Analytics is a consulting firm that provides data analytics consulting services to businesses. The company specializes in data science, machine learning, and artificial intelligence. Tiger Analytics helps businesses to leverage data to make better decisions, improve operations, and drive growth. The company has worked with clients in a variety of industries, including healthcare, retail, finance, and technology.
Learn more about Tiger Analytics
Size
500 employees
Industry
Information Technology
Net Income
$1 million
Founded
2011
5 Year Trend
+50%
Revenue
$10 million
* Ladders Estimates

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