Job Description

• 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 You Will Need:

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

Desired:

• Scala expertise
• Pharmacy domain knowledge (or retail, healthcare, or regulated data domains)
• Engineering standards and documentation authorship
• Understanding of API design and integration fluency
• Updated skills matrix for the submissions:

Job Tags

Similar Jobs