Senior Software Engineer
Core
Design, build, and maintain agentic workflow automation, monitoring systems, and infrastructure for a marketing data platform, focusing on cost optimization, scalability, and data quality.
Role type
Senior Software Engineer (Data Platform & Infrastructure)
Builds
Agentic workflow automation, monitoring systems, data storage solutions, and frameworks for data quality measurement.
Domain
Marketing Data, Cloud Infrastructure, Data Engineering
Deliverable
production ML models | infrastructure | product features
Required skills
Azure infrastructure, AI agents, Azure CLI, AAD Graph, Azure Data stack (Synapse, ADB, ADF, Cosmos, Data Explorer, Fabric), data visualization, big data platforms, software development lifecycle, program management, engineering design reviews, POCs, solution development
Preferred skills
Clean Room Technology, data egress processes, modern data engineering, analytics, machine-learning tools
Technologies
Azure, Fabric, Purview, Azure ML, Synapse, ADB, ADF, Cosmos, Data Explorer
Responsibilities
Design and implement data storage solutions aligned with medallion architecture; implement data classification, tagging, retention, archival, and deletion; collaborate with Data Product Engineering, Data Ops, and Partner Engineering teams; identify and prioritize platform improvements using incident and feedback data.
Seniority
Senior, hands-on IC
