Techwaukee
SAP OTC architect
Skills
1 month ago
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Important information
Contract type:
Permanent
Salary:
₹950,000 – ₹5,000,000 / year
Location:
India
Work mode:
Onsite
Published on:
25 September 2026
What they need
About the job
We are seeking a highly skilled and experienced SAP OTC (Order to Cash) Data Architect to join our team. In this role, you will be responsible for designing, implementing, and optimizing data architecture solutions for the OTC processes within our SAP systems.
Responsibilities:
- Design and implement data architecture solutions for SAP OTC processes.
- Collaborate with business stakeholders to understand their requirements and translate them into technical solutions.
- Develop and maintain data models, data flow diagrams, and other documentation to support the OTC processes.
- Ensure data quality and integrity across all OTC-related systems and processes.
- Provide technical guidance and support to other team members and stakeholders.
- Perform data analysis and troubleshooting to resolve any data-related issues.
- Stay up to date with the latest SAP technologies and best practices to continuously improve our data architecture solutions.
Requirements:
- Bachelor's degree in Computer Science, Information Systems, or a related field.
- Minimum of 3 years' experience working as a SAP Data Architect, preferably with a focus on OTC processes.
- Strong understanding of SAP modules related to OTC, including SD (Sales and Distribution), MM (Materials Management), and FI (Financial Accounting).
- Proven experience in designing and implementing data architecture solutions within SAP environments.
- Excellent problem-solving and analytical skills.
- Strong communication and interpersonal skills, with the ability to work effectively in a team-oriented environment.
- Ability to work in a high-pressure, fast-paced environment and meet tight deadlines.
- Immediate availability to start the project.
Preferred Qualifications:
- Experience with S/4HANA implementations.
- Knowledge of SAP BI/BW (Business Intelligence/Business Warehouse) solutions.
- Familiarity with data governance and data management best practices.
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