Manufacturing Solutions Architect – Industry 4.0

Ascentt

Indore

On-site

INR 1,500,000 - 2,500,000

Full time

14 days+

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Job summary

A leading data analytics firm in India is seeking a Manufacturing Solutions Architect – Industry 4.0. The role involves leading digital transformation in manufacturing, implementing MES systems, and integrating automation technologies. The ideal candidate has over 10 years of experience in manufacturing automation and strong knowledge of Industry 4.0 concepts. This position offers an opportunity to work on cutting-edge solutions that drive industry innovation.

Qualifications

  • 10+ years of experience in manufacturing automation, MES, and digital transformation.
  • Strong knowledge of Industry 4.0 concepts.
  • Hands-on experience with IIoT/MES platforms.

Responsibilities

  • Lead the design and implementation of MES and digital transformation architectures.
  • Partner with clients to identify opportunities for improvement.
  • Oversee the integration of automation and enterprise systems.

Skills

Manufacturing automation
Industry 4.0 concepts
IIoT/MES platforms
Manufacturing operations
Automation tech stack
Cloud platforms (GCP, AWS, Azure)
Programming/scripting
Database management
OT/IT integration
Data modeling/architecture design

Education

10+ years of experience in manufacturing automation

Tools

Ignition/Sepasoft
WinCC OA
Siemens OpCenter
SQL
PostgreSQL

Job description

Overview

Manufacturing Solutions Architect – Industry 4.0 at Ascentt. Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.

Job Title: Manufacturing Solutions Architect – Industry 4.0

Location: Indore/Pune, India

Employment Type: Full-time

Key Responsibilities
  • Lead the design and implementation of MES, IIoT, and digital transformation architectures, ensuring scalability and alignment with industry standards.
  • Partner with clients to understand their manufacturing operations, identify opportunities for improvement, and design Industry 4.0 solutions that deliver measurable value.
  • Oversee the integration of automation, IT, and enterprise systems, enabling seamless data flow from the shop floor to the cloud.
  • Collaborate with cross-functional teams to deliver solutions supporting core and extended manufacturing functions such as OEE, downtime, scheduling, order management, track & trace, quality management, energy management, device management, etc.
  • Design and implement data architecture solutions including data modeling, governance frameworks, and master data management strategies for manufacturing environments.
  • Manage vendor relationships and technology selection processes, evaluating and recommending solutions that align with client requirements and strategic objectives.
  • Provide technical leadership and guidance to project teams, ensuring solutions are well-architected, secure, and future-ready.
  • Build and maintain strong relationships with clients, partners, and stakeholders while staying up to date with emerging technologies and industry trends.
  • Support documentation, knowledge sharing, and best practices to enable consistent delivery and continuous improvement.
Qualifications & Skills
  • 10+ years of experience in manufacturing automation, MES, and digital transformation.
  • Strong knowledge of Industry 4.0 concepts (IIoT, Unified Namespace, Smart Manufacturing, AI/ML, Digital Twin).
  • Hands-on experience with IIoT/MES platforms (Ignition/Sepasoft, WinCC OA, Siemens OpCenter, or similar) and integration with ERP and external systems.
  • Solid understanding of manufacturing operations (production planning, scheduling, quality, OEE, downtime, supply chain processes, etc.).
  • Familiarity with automation tech stack: sensors, PLCs, HMIs, SCADA, MES, ERP, and cloud.
  • Experience with cloud platforms (GCP preferred; AWS/Azure familiarity a plus).
  • Proficiency in programming/scripting (Python, Java, JavaScript, or equivalent).
  • Experience with databases (SQL & NoSQL such as MS SQL, PostgreSQL, MongoDB) and historians.
  • Strong understanding of OT/IT integration, including networking fundamentals, secure architectures, and identity management.
  • Experience with modular/microservices architecture design and implementation.
  • Hands-on experience with API management platforms and integration technologies (REST, GraphQL, messaging systems).
  • Proven experience in data modeling and architecture design for manufacturing environments.
  • Familiarity with master data management (MDM) systems and strategies in manufacturing contexts.
  • Experience with real-time data streaming architectures and technologies (Kafka, MQTT, GCP Pub/Sub, etc.).
  • Proven ability to lead cross-functional teams and deliver enterprise-scale manufacturing solutions.
Preferred / Nice To Have
  • 5+ years in MES/SCADA system design and implementation.
  • 3+ years of hands-on experience with Ignition (platform and modules).
  • Experience with automotive manufacturing environments.
  • Experience leading multi-site MES rollouts.
  • Exposure to digital twin, simulation, or GenAI applications in manufacturing.
  • Knowledge of ISA-95 or similar standards/frameworks.
  • Experience with agile methodologies and modern DevOps practices.
  • Experience in change management methodologies and organizational transformation frameworks.
  • Relevant certifications (e.g., CMRP, CIMP) are a plus.
Soft Skills
  • Strong problem-solving and analytical mindset.
  • Excellent communication and stakeholder management skills.
  • Ability to translate technical solutions into business value.
  • Comfortable leading workshops and roadmaps with client executives and technical teams.
  • Collaborative, with ability to work across global OT, IT, and business teams.
  • Strong change management and organizational transformation capabilities.
  • Effective vendor relationship management.
Seniority level
  • Mid-Senior level
Industries
  • IT Services and IT Consulting

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