Databricks Architect

Codvo.ai; India; Remote; INR 3,500,000 - 5,500,000; Full time

Job summary

Codvo.ai is hiring a Databricks Architect for a remote, full-time role based in India. You will design, implement, and optimize scalable data platforms and lead engineering teams.

The role focuses on building data lakes/lakehouses, pipelines using Spark, Delta Lake, Python, and SQL, and establishing governance, security, and cost controls. You will mentor engineers and collaborate with stakeholders.

Qualifications

• 12+ years of experience in data engineering or data architecture.
• Hands-on Databricks with relevant certifications.
• Strong skills in Spark, Python, SQL, and ETL/ELT pipelines.

Responsibilities

• Design enterprise data lakes and analytics platforms on Databricks.
• Develop and optimize Spark, Delta Lake, Python, and SQL pipelines.
• Lead data engineering projects from architecture to deployment.
• Define governance, security, performance, and cost controls.
• Provide architectural guidance to teams and clients.
• Mentor engineers and conduct code reviews with stakeholders.

Skills

Databricks

Data engineering

Python

SQL

ETL/ELT pipelines

Delta Lake

Apache Spark

Cloud platforms (AWS/Azure/GCP)

Data governance

Stakeholder management

Communication

Job description

Hiring: Databricks Architect | Remote | Full-Time

Required Experience: 12+ years

Location: Remote, India

About the Role

CODVO.AI is seeking an experienced Databricks Architect to design, implement, and optimize scalable enterprise data solutions. You will lead data architecture initiatives, build high-performance pipelines, and guide engineering teams in delivering secure, cost-effective data platforms.

Key Responsibilities

• Design enterprise-grade data lakes, lakehouses, and analytics platforms using Databricks.
• Develop and optimize data pipelines using Apache Spark, Delta Lake, Python, and SQL.
• Lead data engineering projects from architecture and implementation through deployment.
• Establish best practices for data governance, security, performance, and cost optimization.
• Troubleshoot technical challenges and provide architectural guidance to teams and clients.
• Mentor engineers, conduct code reviews, and collaborate with business and technical stakeholders.

Required Skills

• 3+ years of hands‑on Databricks and data engineering experience.
• Databricks Associate or Professional certification.
• Strong proficiency in Apache Spark, Python, SQL, and ETL/ELT pipelines.
• Experience with Delta Lake, data governance, and AWS, Azure, or GCP.
• Strong problem‑solving, communication, and stakeholder‑management skills.