Solutions Engineer

• Act as the lead engineer for each domain
• Collaborate with Solution Architects to ensure understanding needed for engineering level guidance to nearshore teams
• Translate architecture design to engineering level guidance
• Own specifying architectural designs into sprint-ready engineering tasks for assigned domain
• Ensure delivery to the solution architecture within domain
• Answer design questions for sprint teams
• Participate in backlog refinement sessions to align team with the architecture
• Act as the internal technical expert supporting Product design and Engineering teams on demonstrations and technical discussions.
• Create/Update documentation such as solution design patterns and engineering standards.
• Lead technical discussions around APIs, integrations, data flow, compliance and security.
• Serve as a trusted advisor on best practices, technical implementation, and scalability. 
  
   

Skills and Experience Required:

Required:

 

• Experience with Python, Spark, Databricks, Azure Event Hub, ADF, Delta Lake Tables
• Able to write optimized ETL pipelines, manage distributed compute jobs, and handle large-scale data transformations.
• Experience with Azure Data Factory (orchestration) and Azure Event Hub (ingestion/event streaming)
• Should know how to manage data movement, ingestion triggers, and pipeline tuning in a production Azure environment.
• Able to code in Spark, and understand execution models, partitioning strategies, caching, broadcast joins, and how these affect performance in Azure's ecosystem.
• Able to collaborate with Solution Architects and lead technical discussions
• Lead developer experience working with a team of at least 12