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Tiger Analytics Inc.

Databricks Architect

Work from home

Remote role where the employee must remain based in a particular country.

United States only

Employer listed it 15 months ago · Found 1h ago

Been open since 15 months ago. Long-running listings are sometimes left up after the role is filled.

Salary

Not stated

Location

United States only

Timezone

US East

Contract

Full-time

Experience

Mid

Category

Software

This employer didn't state pay. Jobs like this usually pay around $145k–$245k a year, a typical range taken from 592 mid-level software roles on Nomaders that do state pay. It's a guide, not an offer.

Remote flexibility

Work from home

This is a remote role, but the employee must be based in United States. It is work from home rather than work from anywhere.

What the employer says

  • Source listing states candidate location: "United States, Remote"

What Nomaders makes of it

  • Residency required in United States
  • Payroll and tax are likely handled in that country only

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

About the role

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.

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.

#LI-remote

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

  • ·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.

How to apply

  1. 1Check the flexibility label above, work from home, matches where you plan to live and work.
  2. 2Tailor your CV to the role at Tiger Analytics Inc., mentioning your remote working experience and working hours (US East).
  3. 3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 1h ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.

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