Lead Databricks Architect: Cloud Data & Lakehouse Expert

Akaasa Technologies

United States

On-site

USD 180,000 - 270,000

Full time

14 days+
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Job summary

Akaasa Technologies seeks a Lead Databricks Architect to spearhead enterprise data initiatives for banking and financial clients. You will architect and govern modern data platforms on Azure, lead cross‑functional teams, and drive end-to-end migration programs from legacy systems to Databricks.

The role demands hands‑on expertise, strong leadership, and a proven track record delivering scalable data solutions while mentoring peers and aligning with governance standards.

Qualifications

  • Bachelor's or Master's degree in Computer Science, Engineering, or related field.
  • 10+ years of experience in data architecture with hands-on Hadoop and Databricks.
  • Proven expertise in cloud data platforms (Azure), data engineering, and ETL processes.
  • Strong understanding of Lakehouse architecture, data federation, and governance frameworks (Unity Catalog).
  • Experience leading large-scale migration projects and MVP delivery.
  • Advanced proficiency with Databricks features such as Delta Lake, etc.
  • Excellent communication, leadership, and stakeholder management.
  • Must have enterprise-level experience, preferably with banking/financial clients.

Skills

10+ years experience
Databricks
Azure cloud
Lakehouse architecture
Data migration leadership
Team leadership
Data governance
Communication
MVP definition
Banking experience

Education

Bachelor's or Master's degree in Computer Science or related field

Tools

Databricks
Delta Lake
Unity Catalog
Azure Databricks

Job description

Akaasa Technologies seeks a Lead Databricks Architect to spearhead enterprise data initiatives for banking and financial clients. You will architect and govern modern data platforms on Azure, lead cross‑functional teams, and drive end-to-end migration programs from legacy systems to Databricks.

The role demands hands‑on expertise, strong leadership, and a proven track record delivering scalable data solutions while mentoring peers and aligning with governance standards.

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