Responsibilities :

- Lead and manage Databricks-based project delivery, ensuring that all solutions are designed, developed, and implemented according to client requirements, best practices, and industry standards.

- Act as the subject matter expert (SME) on Databricks, providing guidance to teams on architecture, implementation, and optimization.

- Collaborate with architects and engineers to design optimal solutions for data processing, analytics, and machine learning workloads.

- Serve as the primary point of contact for clients, ensuring alignment between business requirements and technical delivery.

Qualifications we seek in you :

Minimum Qualifications / Skills : Bachelor's degree in Computer Science, Engineering, or a related field (Master's or MBA preferred).

- Relevant years in IT services with experience specifically in Databricks and cloud based data engineering.

Preferred Qualifications/ Skills :

- Proven experience in leading end-to-end delivery + Solution and Architect of data engineering or analytics solutions on Databricks.

- Strong experience in cloud technologies (AWS, Azure, GCP), data pipelines, and big data tools.

- Hands-on experience with Databricks, Spark, Delta Lake, MLflow, and related technologies.

- Expertise in data engineering concepts, including ETL, data lakes, data warehousing, and distributed computing.