Analyze customer development workflows and lead adoption of an AI-development framework, coordinating rollout, organizational changes and impact measures.
About this role
This lead engineer develops a shared data foundation for Konica Minolta’s B2B SaaS business, including KOTOBAL, COCOMITE and tomoLinks. The platform brings together product and go-to-market data through a Databricks lakehouse architecture.
Responsibilities span architecture and technology decisions, ETL/ELT pipelines, streaming integration, data quality and monitoring. The engineer addresses availability, security and cost, establishes access-control and governance practices, and works with data, AI and analytics engineers on common standards.
Required experience includes designing and building cloud data architecture using AWS, Azure or GCP, developing data-processing infrastructure, selecting pipeline technologies and designing warehouses or data marts. Candidates must also have led projects and technical decisions with multiple stakeholders.
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