Lead Databricks Architect

Akaasa Technologies; United States; On-site; USD 180,000 - 270,000; Full time

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

POSITION

Lead Databricks Architect

REQUIRED SKILLS

Qualifications

Bachelor's or Master's degree in Computer Science, Engineering, or related field.

10+ years of experience in data architecture, with significant hands‑on experience in Hadoop and Databricks environments.

Proven expertise in cloud data platforms (Azure), data engineering, and ETL processes.

Strong understanding of Lakehouse architecture, data federation, and modern data governance frameworks (e.g., Unity Catalog).

Experience leading large‑scale migration projects, including MVP definition and iterative delivery.

Advanced proficiency with Databricks features such as Delta Lake, Liquid Clustering, AI monitoring, and serverless compute.

Excellent communication, leadership, and stakeholder management skills.

Ability to mentor and guide cross‑functional teams in adopting best practices and innovative data solutions.

MUST HAVE ENTERPRISE LEVEL EXPERIENCE, PREFERABLY WITH BANKING/FINANCIAL CLIENTS.

Ex: JP Morgan Chase, Wells Fargo, Citi Group, American Express etc.

Preferred Skills

Experience with Databricks Migration Accelerator or similar migration tools.

Hands‑on expertise in testing advanced features (dynamic clustering, Lakehouse Federation, Unity Catalog).

Knowledge of data security, access controls, and compliance in cloud environments.

Experience generating synthetic data and ensuring data governance in migration scenarios.