Databricks Solution Architect

Work and Technical Experience:

Must Have:

·        Experience in solution design, architecture and implementation of modern hybrid or multi-cloud data analytics solutions.

·        Proficiency in D&A stack of Databricks on one or more hyperscaler platforms such as Azure/AWS.

·        Well versed with modern data pipelines on the latest services in Databricks like declarative pipelines, medallion architecture in Lakehouse

·        Conversant with agentic workflows using Agent bricks, context engineering, conversational interface and front end through Databricks apps as well as AI/BI Genie.

·        Demonstrable thought leadership through blogs, white papers and presentations in D&A events

·        Demonstrable presales and solutioning experience in conducting workshops, building proposals

·        In-depth and hands on experience on data modelling, data organization and data engineering on cloud.

·        Diverse D&A experiences including green field implementations, data modernization, D&A migrations from on -premise to cloud and development of full stack data products

·        Experience of designing and implementing domain driven architecture, data mesh and data fabric architectural patterns.

Qualifications:

·        Bachelor’s degree in computer science, engineering, or related field (Master’s degree is a plus)

·        Demonstrated continued learning through one or more technical certifications in Databricks

·        At least 14+ years of experience in data analytics with focus on cloud data technologies preferably in one or more of the following domains - Retail, Life Sciences, Media and Manufacturing.

·        Minimum 5+ years of hands-on experience on Databricks.

Certifications & Recognitions:

·        Databricks Professional and Databricks Associate Certifications.

·        Databricks Solution Champion

·        Databricks RSA (Resident Solution Architect)