Databricks Engineer/ Architect

About the Role:

• This role involves joining a fast-moving data transformation initiative where the client is already live on Databricks with production pipelines.
• The focus is on stabilization, optimization, and scaling of the platform to transform it into a reliable, production-grade system.
• The opportunity offers a high-impact environment to deliver consistent business value through improved data workflows.

Key Responsibilities:

• Design, build, and stabilize Databricks-based data pipelines, ensuring they are optimized and production-hardened.
• Develop and support reporting and data visualization solutions while implementing best practices for performance and cost.
• Work on end-to-end data workflows from ingestion to reporting, collaborating with teams to improve platform reliability.

Required Skills & Experience:

• Strong hands-on experience with Databricks and data pipeline development (ETL/ELT) is essential.
• Solid understanding of data engineering principles and experience with large-scale data processing systems.
• Exposure to reporting/BI tools and ability to work in fast-paced, evolving environments with minimal handholding.

Ideal Candidate Profile:

• Must be a strong problem-solver comfortable in a "build while running" environment and able to ramp up quickly.
• Balances technical expertise with delivery focus, handling unstable or partially built systems effectively.
• Success is measured by stabilized pipelines, improved reliability, scalable workflows, and measurable business value delivery.