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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: Discrete Event Simulation

Good to have skills: NA

Minimum 7.5 year(s) of experience is required

Educational Qualification: 15 years full time education

Summary:

As a Simulation Engineer specializing in Warehouse Operations, you will drive operational excellence by developing and analyzing discrete event simulation models using tools like Simio, Flexsim, and Anylogic. Your work will focus on optimizing warehouse processes such as order picking, packing, shipping, receiving, and inventory management to address challenges like e-commerce demand surges, automation integration, and space constraints. By performing throughput analysis, bottleneck identification, and material flow optimization, you will deliver actionable insights to enhance efficiency and reduce costs.

Roles & Responsibilities:

  1. Design and develop discrete event simulation models for warehouse operations, including order fulfillment, inventory management, and material handling processes.
  2. Analyze warehouse layouts, staffing levels, and equipment utilization to optimize throughput and minimize bottlenecks.
  3. Conduct material flow analysis to streamline operations, reduce handling times, and optimize storage configurations.
  4. Validate simulation models using real-world data from warehouse management systems (WMS) to ensure accuracy and reliability.
  5. Integrate simulation models with WMS or enterprise resource planning (ERP) systems to align with operational workflows.
  6. Document simulation methodologies, assumptions, and results in detailed reports for stakeholders.

Professional & Technical Skills:

Must Have Skills:

  1. Proficiency in discrete event simulation tools, including Simio, Flexsim, or Anylogic, with hands-on experience in modeling warehouse processes.
  2. Strong understanding of warehouse operations, including order picking, packing, shipping, receiving, and inventory management.
  3. Expertise in throughput analysis, bottleneck identification, and material flow optimization, with a proven track record of delivering measurable improvements.
  4. Ability to analyze large datasets from WMS or IoT systems to inform simulation models and validate results.
  5. Excellent problem-solving skills, with a focus on translating business requirements into simulation solutions.
  6. Strong communication skills to present complex technical insights to diverse stakeholders.

Good to Have skills:

  1. Proficiency in programming languages like Python (Pandas, Num Py) or Java for custom simulation development or data analysis.
  2. Familiarity with integrating simulation models with WMS (e.g., SAP EWM, Manhattan Associates) or ERP systems (e.g., SAP, Oracle).
  3. Exposure to warehouse automation technologies, such as AGVs, automated storage and retrieval systems (AS/RS), or conveyor systems.
  4. Tooling / Platform Exposure:
    Simulation Tools: Simio (e.g., Simio Enterprise), Flexsim (e.g., Flexsim Warehouse), Anylogic (e.g., Material Handling Library).
  5. Data Analysis Tools: Python (Pandas, Num Py, Matplotlib), R, Tableau for visualization and validation.
  6. Warehouse Systems: SAP Extended Warehouse Management (EWM), Manhattan Associates, Oracle WMS.
  7. Automation Technologies: AGVs (e.g., Kiva Systems), AS/RS, conveyor systems, IoT sensors.

Additional Info:

  1. Bachelor s or master's degree in mechanical, Industrial Engineering, Operations Research, Supply Chain Management, or a related field.
  2. Good to have: Certifications in simulation tools (e.g., Simio Certified Simulation Modeler, Flexsim Certification)
  3. This position is based at Bangalore location
  4. Candidate should have minimum 7 years of experience in related field.

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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About Accenture

Accenture

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Public

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10,001+

Employees

Dublin

Headquarters

Reviews

4.0

10 reviews

Work Life Balance

3.5

Compensation

4.0

Culture

4.2

Career

4.1

Management

4.0

75%

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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