Job Overview The Senior Databricks AI Architect will lead the design and implementation of AI-enabled data engineering solutions on the Databricks platform. The role is responsible for driving AI-assisted development practices using tools such as Databricks Genie, Cursor, GitHub Copilot, and similar technologies to improve engineering productivity. The position also provides technical leadership, defines architecture standards, mentors engineering teams, and delivers scalable, secure, and high-performance data solutions.

Key Responsibilities

- Architect and design scalable data platforms and solutions using Databricks.

- Drive the adoption of AI-powered engineering tools such as Databricks Genie, Cursor, GitHub Copilot, and similar technologies.

- Lead technical investigations, perform root cause analysis,



and resolve complex platform and data engineering issues.

- Define architecture standards, best practices, and reusable frameworks for Databricks and AI-enabled engineering.

- Identify opportunities to modernize engineering practices through AI-driven automation and intelligent workflows.

- Provide technical leadership and mentoring to engineering teams.

- Collaborate with business stakeholders, solution architects, and delivery teams to define scalable, secure, and high-performing solutions.

- Evaluate emerging AI technologies and recommend their adoption to improve engineering productivity and innovation.

📌 Senior Databricks AI Architect (Pune)
🏢 Experis
📍 Pune