Technical Lead

Computomic; Bengaluru; On-site; INR 4,000,000 - 7,000,000; Full time

Job summary

Computomic is seeking a Technical Lead with 5–10 years of experience to drive complex data engineering lifecycle projects using Databricks. The role focuses on building scalable data pipelines and performance optimization in a fast-paced environment.

The ideal candidate will mentor junior team members, collaborate with cross-functional teams, and develop robust data architectures while ensuring delivery of high-quality solutions in Bengaluru.

Qualifications

• 5–10 years of experience in data engineering and related roles.
• Strong Databricks experience and data pipeline design.
• Ability to design scalable data pipelines and optimize performance.
• Effective communication and collaboration with cross-functional teams.
• Experience with agile development methodologies and version control.

Responsibilities

• Design scalable data pipelines using Databricks.
• Optimize data engineering lifecycle performance.
• Collaborate with cross-functional teams to define requirements.
• Develop and maintain technical documentation for data pipelines and architectures.
• Troubleshoot complex issues in data pipelines and architectures.
• Mentor junior team members to improve skills.

Skills

Data engineering

Problem-solving

Communication

Collaboration

Mentoring

Agile

Tools

Databricks

Version control (Git)

Job description

We are looking for a highly skilled and experienced Technical Lead with 5 to 10 years of experience to join our team, specializing in Databricks and handling complex data engineering lifecycle projects. The ideal candidate will have a strong passion for building scalable data pipelines and optimizing performance.

Roles and Responsibility

• Design and implement scalable data pipelines using Databricks.
• Optimize data engineering lifecycle performance.
• Collaborate with cross-functional teams to identify and prioritize project requirements.
• Develop and maintain technical documentation for data pipelines and architectures.
• Troubleshoot and resolve complex technical issues related to data pipelines and architectures.
• Mentor junior team members to improve their skills and knowledge.

Job Requirements

• Strong experience in data engineering and Databricks.
• Excellent problem-solving skills and attention to detail.
• Ability to work independently and collaboratively as part of a team.
• Strong communication and interpersonal skills.
• Experience with agile development methodologies and version control systems.
• Strong understanding of data architecture and design principles.

Platform Specialization: Databricks
Project Scope: Complex DWH & Migration initiatives across the full data engineering lifecycle