Job ID: JOB_ID_8675
About the Role
We are seeking a highly skilled GCP Data Solution Architect with a strong foundation in Artificial Intelligence (AI) and Generative AI (GenAI). In this role, you will lead complex Digital Data Modernization programs tailored specifically for the R&D or Manufacturing or Supply Chain domain. You will design, architect, and implement scalable data solutions on the Google Cloud Platform (GCP) while leveraging modern AI/GenAI capabilities to drive operational efficiency, predictive insights, and business value.
Key Responsibilities
- Digital Data Modernization: Lead, execute, and manage the end-to-end lifecycle of large-scale Digital Data Modernization programs, transitioning legacy on-premise or multi-cloud data systems to modern GCP architectures.
- AI & GenAI Integration: Leverage a strong understanding of AI/ML and Generative AI to design solutions that solve complex domain challenges (e.g., demand forecasting, predictive maintenance, inventory optimization, and intelligent supply chain routing).
- Domain Leadership: Apply deep R&D lifecycle, Manufacturing and Supply Chain industry knowledge to translate complex business requirements into robust, scalable technical solutions.
- Technical Delivery & Governance: Establish best practices for data governance, data security, data modeling, and performance optimization on GCP.
- Stakeholder Management: Collaborate directly with business leaders, product managers, and technical teams to define roadmaps and deliver measurable ROI through data and AI initiatives.
Required Qualifications
- Experience: 15+ years of overall IT experience with a minimum of 4+ years acting as a Data Solution Architect specifically on Google Cloud Platform (GCP).
- Data Modernization: Proven, hands-on experience executing and managing enterprise-level Digital Data Modernization and cloud migration programs.
- Domain Expertise: Deep understanding of the R&D or Manufacturing or Supply Chain domains, including familiarity with relevant data structures (ERP, MES, WMS, IoT sensor data, logistics).
- AI/GenAI Knowledge: Good conceptual and practical understanding of AI, Machine Learning, and GenAI ecosystems.
- GCP Core Skills: Deep technical expertise in BigQuery, Cloud Storage, Dataflow, Cloud Composer, and Vertex AI.
Preferred Qualifications
- GCP Certifications (Professional Data Engineer, Professional Cloud Architect, or Professional Machine Learning Engineer).
- Experience with streaming data architectures and real-time IoT data processing (common in manufacturing).
- Excellent communication skills with the ability to explain complex architectural concepts to non-technical business stakeholders.
Special Requirements
Onsite
Compensation & Location
Salary: $120,000 – $160,000 per year (Estimated)
Location: Aurora, IL
Recruiter / Company – Contact Information
Email: sha.b@nityainc.com
Recruiter Notice:
To remove this job posting, please send an email from
sha.b@nityainc.com with the subject:
DELETE_JOB_ID_8675