
Manufacturing SME Solutions Architect
Overview
Own digital transformation initiatives for manufacturing SMEs delivering scalable solutions across injection moulding operations. Drive operational excellence through data-driven strategies and cloud-native architectures. Shape strategic roadmaps that align technology investments with business outcomes.
What You'll Do11
- 1Assess end-to-end factory operations across injection moulding lines to identify quality throughput and equipment effectiveness gaps
- 2Define and present phased digital transformation roadmaps addressing operational inefficiencies
- 3Design data engineering pipelines for real-time production analytics using AWS services
- 4Implement Kubernetes-based microservices for scalable manufacturing applications
- 5Lead teams in deploying Spark-based ETL solutions for unified data visibility
- 6Scale React frontends to improve plant monitoring dashboards accessibility
- 7Drive continuous improvement through Lean Six Sigma methodologies
- 8Debug complex integration challenges between legacy PLC systems and modern platforms
- 9Drive cultural change through agile development practices
- 10Collaborate with cross-functional stakeholders to prioritize technology investments
- 11Optimize supply chain workflows using AWS IoT and predictive analytics
Requirements11
- 15+ years building ETL pipelines with Spark and Airflow
- 23-5 seasons leading cloud migration projects for industrial clients
- 3AWS Certified Solutions Architect professional designation
- 4Python expertise for data processing and automation scripts
- 5React proficiency for enterprise application development
- 6Kubernetes deployment experience for scalable services
- 7Data engineering fundamentals with emphasis on streaming architectures
- 8Lean Six Sigma certification preferred
- 9Industry-specific knowledge of manufacturing operations
- 10Contract engagement with proven delivery track record
- 11Problem-solving mindset with analytical rigor
Salary Insight
$90 - $100k per year
Location
Required Skills
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