Senior Architect – Data Engineering, Databricks

This is a fully remote position, open to applicants in India.

📋 Description

• Collaborate with data leaders across sales, recruitment, account management, consulting, and operations.

• Lead Databricks initiatives as part of the Databricks Center of Excellence.

• Serve as a Databricks subject matter expert and assist in business development efforts.

• Advise clients on architecture, data engineering, scalable analytics, and best practices for Databricks.

• Oversee project risk management, planning, budgeting, deliverables, and ensure alignment at the executive level.

• Craft proposals, statements of work, and strategies for account growth.

• Offer technical and architectural guidance on Databricks, contemporary data platforms, and cloud-native solutions.

• Mentor team members and suggest emerging technologies and tools.

• Design and manage large-scale data architecture projects utilizing Databricks, Delta Lake, Delta Live Tables, and Unity Catalog.

• Provide strategic leadership to engineering teams.

• Consult clients on digital transformation and data strategy.

• Spearhead Databricks implementation sales and pre-sales initiatives as Sales Solution Lead or Lead Architect.

• Direct major Databricks migration and modernization delivery projects in the role of Delivery Solution Lead.

⛳️ Requirements

• Over 10 years of experience in data engineering or architecture.

• At least 6 years of substantial hands-on experience with Databricks.

• Proficiency with Delta Lake, Delta Live Tables, and Unity Catalog.

• Mastery of Big Data Platforms, Cloud Data Warehouses, and Object-Oriented Programming.

• Expertise in NoSQL Databases, Container Management Systems, and AI/ML tools.

• Familiarity with the Databricks platform and its governance features.

• Experience in designing data and AI platform solutions.

• Proven track record of delivering large-scale migration and modernization projects from legacy Data Warehouses to the Databricks Lakehouse platform.

• Completion of the Databricks Data Engineering Professional certification is preferred.

• Experience in leading multiple complex Databricks project deliveries.

🏝️ Benefits

• Focus on employee wellbeing.

• Opportunities for mentorship and thought leadership.

• Chance to collaborate with a growing Databricks Center of Excellence.

• Work in partnership with global teams and clients.

• Recognized as a great place to work, including being listed among Fortune’s 100 Best Companies to Work For.