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Enterprise Technology Architect

Accenture

Enterprise Technology Architect

Accenture

·

On-site

·

Full-time

·

4d ago

Project Role: Enterprise Technology Architect

Project Role Description: Architect complex end-to-end IT solutions across the enterprise. Apply the latest technology and industry expertise to create better products and experiences.

Must have skills: Manufacturing Design & Engineering Solutions

Good to have skills: NA

Minimum 15 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

We are seeking a Senior Technology Architect to lead large-scale Digital Engineering Transformation programs that connect Engineering, Manufacturing, Supply Chain, and Operations through a Digital Thread spanning PLM - ALM - ERP - MES/MOM - OT/IIoT and downstream service. The ideal leader combines deep hands-on expertise in PLM platforms (Dassault 3DEXPERIENCE, Siemens Teamcenter, PTC Windchill, Aras, open-source PLM) with modern integration, data, and platform engineering skills. You will define end-to-end reference architectures, govern implementation at scale, and anchor domain-led transformation (Aero, Auto, Industrial, CPG, Med Tech, Energy, etc.) with measurable business outcomes.

Roles & Responsibilities:

1.Architecture & Strategy:

  • Define the Digital Thread strategy and reference architecture across engineering, manufacturing, supply chain, and service - covering data models (eBOM/mBOM/sBOM), process orchestration, configuration/change management (ECM/ECR), variant management, and traceability.
  • Architect enterprise-scale PLM landscapes (3DEXPERIENCE, Teamcenter, Windchill, Aras, OpenPLM) and their integrations with ERP (SAP/Oracle), MES/MOM, ALM, QMS, IIoT platforms, data platforms (lake/mesh), and analytics/AI stacks.
  • Establish governance models, maturity roadmaps, and transformation playbooks for brownfield and greenfield programs, including M&A harmonization, master data convergence, and standardization of engineering processes.

Integration & Platforms:

  • Lead design of microservices/event-driven integration patterns, API-first architectures, Kafka/AMQP, and OSIsoft/OPC UA/MQTT-based OT data pipelines mapped to ISA-95/ISA-88.
  • Drive harmonized data semantics, ontologies, knowledge graphs, engineering taxonomies, and metadata strategies underpinning the Digital Thread.
  • Oversee model-based systems engineering (MBSE) and model-based definition (MBD) adoption (SysML/Cameo/Capella), ensuring alignment of requirements- models - test - verification/validation.
  1. Delivery Leadership:
  • Act as chief architect across multi-year programs, owning NFRs (scalability, performance, cyber-security, compliance) and ensuring architectural conformance during delivery.
  • Run architecture boards / design authorities, conduct solution assurance reviews, and mentor solution/enterprise architects and engineering leads.
  • Define KPIs & value metrics (e.g., engineering change cycle time reduction, BOM/BOP synchronization accuracy, first-time-right rate, reuse %, time-to-industrialize, SoP readiness).

Thought Leadership & Growth:

  • Shape go-to-market narratives, author POVs/whitepapers, patents, and represent the practice in conferences/universities/industry forums.
  • Lead pre-sales, solution shaping, and executive storytelling to win complex transformation deals; build CxO-level trust.
  • Build ecosystems with ISVs (Dassault, Siemens, PTC, Aras), hyperscalers (AWS/Azure/GCP), IIoT and data platform partners, middleware/i PaaS vendors, and cybersecurity players.
    5.Emerging Tech & AI:
  • Define how AI/GenAI, simulation, and digital twins augment engineering processes (requirements engineering, auto-classification, BOM reconciliation, change-impact prediction, compliance automation).
  • Promote Dev Sec Ops/MLOps for Engineering IT, test automation, and as-code governance for PLM/MES/ERP integrations

Professional & Technical Skills:

Must have Skills:

  • Deep, hands-on PLM expertise in at least two major stacks: Dassault 3DEXPERIENCE, Siemens Teamcenter, PTC Windchill, Aras (implementation, customization, upgrade/migration, data model design, integrations).
  • Proven experience designing and implementing Digital Thread architectures across PLM/ALM/ERP/MES/MOM/SCM/QMS/IIoT, with end-to-end traceability and configuration management.
  • Strong command over BOM/BOP variant & configuration management, ECR/ECN/CMII processes, CAD/PDM, MBSE/MBD, and requirements - test traceability.
  • Expertise in enterprise integration patterns (ESB/i PaaS, microservices, event-driven), API management, data mesh/lakehouse, Kafka, REST/GraphQL, and Master Data Management (MDM).
  • Working knowledge of manufacturing operations and industrial standards: ISA-95/88, OPC UA, MQTT, SCADA/DCS, MOM/MES.
  • Solid understanding of cybersecurity, IP protection, data residency/compliance (IT/OT).
  • Demonstrated leadership running global, multi-vendor, multi-year programs with significant budgets
  • Executive communication skills, able to translate architecture into business value and change narratives
    Good to have skills:
  • Experience with MBSE toolchains (Cameo, Capella, Rhapsody, Polarion) and ALM tools (Polarion, Codebeamer, Jira/Atlassian).
  • Exposure to Digital Twins (process/asset/system), simulation pipelines, and NVIDIA/Siemens/Dassault twin ecosystems.
  • Familiarity with knowledge graphs/ontologies, semantic layer tooling, and SPARQL/OWL.
  • Experience with GenAI/LLMs for engineering (design knowledge retrieval, automated classification, document-to-model conversion, change impact analysis).
  • Understanding of containerization, Kubernetes, cloud-native architectures, and Dev Sec Ops for Engineering IT.
  • Prior experience in regulated industries (Aero/Defense, Med Tech, Pharma) for compliance (e.g., ISO 9001, ISO 27001, ISO 26262, AS9100, FDA 21 CFR Part 11).
  • C-suite advisor & storyteller with outcome-first mindset.
  • Architectural authority balancing speed, safety, and scale.
  • People builder across DS/ML, DE, MLOps/LLMOps, and OT
  • Replace leadership with someone experienced in implementing AI and agents on shop floors.
  • Cloud (AWS/Azure/GCP), Kubernetes, Security (CISSP/IEC 62443) a plus.
  • Lean/Six Sigma/TPM nice to have for credibility with operations.

Additional Info:

  • A minimum of 20 years of progressive information technology experience is required.
  • Bachelors/master's in engineering / CS / Data Science (PhD preferred for R&D-heavy roles).
  • This position is based at Bengaluru location.

15 years full time education

About Accenture

Accenture is a leading global professional services company that helps the world’s leading businesses, governments and other organizations build their digital core, optimize their operations, accelerate revenue growth and enhance citizen services—creating tangible value at speed and scale. We are a talent- and innovation-led company with approximately 791,000 people serving clients in more than 120 countries. Technology is at the core of change today, and we are one of the world’s leaders in helping drive that change, with strong ecosystem relationships. We combine our strength in technology and leadership in cloud, data and AI with unmatched industry experience, functional expertise and global delivery capability. Our broad range of services, solutions and assets across Strategy & Consulting, Technology, Operations, Industry X and Song, together with our culture of shared success and commitment to creating 360° value, enable us to help our clients reinvent and build trusted, lasting relationships. We measure our success by the 360° value we create for our clients, each other, our shareholders, partners and communities.
Visit us at www.accenture.com

Equal Employment Opportunity Statement

We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, military veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by applicable law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities.

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Pros

Great learning and development opportunities

Supportive and collaborative work environment

Good career growth and networking opportunities

Cons

Need to be proactive in finding projects

Long hours during busy periods

Very competitive environment for advancement

Salary Ranges

33 data points

L2

L3

L4

L5

L6

L2 · Business Analyst L2

0 reports

$63,830

total / year

Base

$25,532

Stock

$31,915

Bonus

$6,383

$44,681

$82,979

Interview Experience

6 interviews

Difficulty

2.7

/ 5

Duration

14-28 weeks

Offer Rate

17%

Experience

Positive 0%

Neutral 50%

Negative 50%

Interview Process

1

Application Review

2

Recruiter Screen

3

Technical/Task-Based Interview

4

Final Interview

5

Offer

Common Questions

Technical Knowledge

Behavioral/STAR

Past Experience

Case Study