Databricks Solution Architect

TechClover Pte. Ltd.; Bengaluru; On-site; INR 2,500,000 - 4,000,000; Full time

Job summary

TechClover Pte. Ltd. in Bengaluru, Karnataka, is seeking an experienced Databricks Solution Architect to design and lead enterprise Data & AI solutions on the Databricks Lakehouse Platform.

You will architect scalable cloud data platforms across AWS, Azure or GCP, drive end-to-end implementations, and mentor teams while engaging with senior stakeholders. This role suits hands-on leaders who combine architecture with customer engagement on large transformation programs.

Qualifications

• 10+ years in Data Engineering / Data Platforms / Analytics.
• Proven experience delivering enterprise Databricks solutions.
• Experience leading large Databricks implementations in enterprise environments.

Responsibilities

• Design and lead enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform.
• Architect scalable cloud data platforms across AWS, Azure and/or GCP.
• Lead end-to-end Databricks implementations from discovery through production.
• Build modern data pipelines using Apache Spark, Delta Lake and ETL/ELT best practices.
• Drive platform performance, scalability, governance and security.
• Lead architecture workshops and engage with senior business and technology stakeholders.
• Mentor engineering teams and establish architecture best practices.

Skills

Spark

Communication skills

Data migration to Databricks

Databricks capabilities

Awareness of newer Databricks features

Job description

We are partnering with a leading Data & AI Consulting organisation to hire an experienced Databricks Solution Architect for a permanent opportunity based in Bengaluru, Karnataka.

If you've successfully delivered enterprise Databricks solutions and enjoy solving complex data and AI challenges, I'd love to hear from you.

Key Responsibilities

• Design and lead enterprise-scale Data & AI solutions on the Databricks Lakehouse Platform.
• Architect scalable cloud data platforms across AWS, Azure and/or GCP.
• Lead end-to-end Databricks implementations from discovery through production.
• Build modern data pipelines using Apache Spark, Delta Lake and ETL/ELT best practices.
• Drive platform performance, scalability, governance and security.
• Lead architecture workshops and engage with senior business and technology stakeholders.
• Mentor engineering teams and establish architecture best practices.

Required Skills

• Strong Spark knowledge and software engineering skills.
• Strong communication and consulting skills.
• Experience migrating data platforms to Databricks.
• At least 2–3 years of hands-on experience with core Databricks capabilities, including Lakehouse, Data Warehousing and Lakeflow.
• Awareness of newer Databricks features and capabilities.

Experience: 10+ years in Data Engineering / Data Platforms / Analytics

Preferred

• Databricks Data Engineer Professional Certification
• Additional AWS, Azure or GCP certifications

Who Should Apply?

This role is ideal for Solution Architects who enjoy combining hands‑on technical leadership with customer engagement and enterprise consulting. You'll work on large-scale transformation programmes for leading organisations while helping shape modern Data & AI platforms.