Databricks Solution Architect

We are looking for a highly skilled and passionate Databricks Solution Architect to design end-to-end data solutions, define architecture patterns, guide implementation teams, ensure integration with enterprise systems, and promote best practices in data engineering and machine learning workflows.

Lead proof-of-concept developments and evaluate new platform features, and ensure that security and compliance standards are met

• Work closely with Data Scientists, Business Team and Engineers to understand business requirements, translating those requirements into technical architectures, and ensuring the effective integration of Databricks with other enterprise systems.
• Recommend best practices around data engineering, machine learning, and analytics workflows, as well as guiding teams in the adoption of efficient architecture patterns.
• Define project scope, set technical direction, and troubleshoot complex problems.
• Lead the development of proof-of-concept solutions, evaluate new platform features, and ensure that security and compliance standards are met.
• Plan and execute Migration strategies to transition on prem data warehouse and Datalake into cloud based Databricks
• Develop reusable frameworks for Data Engineering and Machine Learning Data Pipelines
• Explore AI and Gen AI solutions for business requirements and provide solutions to adopt them.

• Proven expertise in implementing Lakehouse and Delta Lake using Databricks.
• Strong PySpark and Python experience