Databricks Solution Architect

n Human Resources & Management Systems [ nHRMS ]; Dehradun; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Databricks is seeking an experienced Databricks Solution Architect to design, architect, and deliver enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform. The role offers PAN India hybrid work options across Kochi, Bengaluru, Delhi NCR, or Dehradun.

You will lead end-to-end implementations, build scalable ETL/ELT pipelines with Spark and Delta Lake, and optimize cloud-native architectures across AWS, Azure, and GCP. Mentoring and governance are key aspects of the role.

Qualifications

• Experience designing enterprise-scale Databricks Lakehouse architectures.
• 10+ years in data engineering / solutions architecture.
• Strong consulting and customer-facing capabilities.

Responsibilities

• Design enterprise-scale Databricks Lakehouse solutions.
• Lead end-to-end implementation from design to production.
• Build scalable ETL/ELT pipelines using Spark and Delta Lake.
• Optimize platform performance and cloud-native architectures.
• Design cloud solutions across AWS, Azure, and GCP.
• Conduct architecture workshops and customer discussions.
• Mentor engineering teams and define best practices.
• Drive governance, security, and platform modernization.

Skills

Databricks

Apache Spark

PySpark

Delta Lake

Unity Catalog

Lakehouse Architecture

Cloud platforms

Python

SQL

CI/CD

Data Engineering

Job description

Databricks Solution Architect

Databricks Solution Architect

Location

PAN India (Hybrid – Kochi, Bengaluru, Delhi NCR, or Dehradun)

Employment Type

Full-Time

Job Summary

We are looking for an experienced Databricks Solution Architect to design, architect, and deliver enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform.

Key Responsibilities

• Design enterprise-scale Databricks Lakehouse solutions.
• Lead end-to-end implementation from solution design to production.
• Build scalable ETL/ELT frameworks using Apache Spark and Delta Lake.
• Optimize platform performance and cloud-native architectures.
• Design cloud solutions across AWS, Azure, and GCP.
• Conduct architecture workshops and customer discussions.
• Mentor engineering teams and define technical best practices.
• Drive governance, security, and platform modernization.

Required Skills

• Databricks
• Apache Spark
• PySpark
• Delta Lake
• Unity Catalog
• Lakehouse Architecture
• Azure / AWS / GCP
• Python
• SQL
• CI/CD
• Data Engineering

Preferred Qualifications

• 10+ years of experience.
• Databricks Data Engineer Professional Certification preferred.
• Strong consulting and customer-facing experience.