Semarchy MDM Developer

We are seeking a skilled Semarchy MDM Developer to design, develop, and optimize Master Data Management (MDM) solutions using the Semarchy Data Platform using AI. The ideal candidate will collaborate with business stakeholders, data stewards, and technical teams to consolidate and govern enterprise master data. This role focuses on ensuring high-quality, accurate, and trusted data across domains such as customer, loyalty, booking, and vendor data.

Your Role:

• Design and develop data models, including entities, attributes, hierarchies, and relationships within Semarchy (SDP).
• Define and maintain business rules, reference data, and master data structures.
• Configurend manage data quality rules, validation checks, data profiling, and cleansing processes.
• Develop and implement match-and-merge strategies to create and maintain golden records.
• Support data governance initiatives and ensure compliance with organizational standards.
• Build and configure REST and SOAP APIs for data exchange and integration.
• Design and implement data ingestion and synchronization processes from multiple source systems.
• Collaborate with integration teams to support end-to-end master data workflows.
• Develop and enhance workflows that enable data stewards to review, approve, enrich, and maintain master data.
• Support business users by translating requirements into scalable MDM solutions.
• Monitor and troubleshoot MDM processes and job executions.
• Optimize application performance and data processing efficiency.
• Manage model editions and deployments across Development, QA, and Production environments.

• 5+ years of hands-on experience developing and implementing solutions using Semarchy SDP and xDM.

• Proven experience in Master Data Management (MDM) implementations and data governance initiatives.

• Strong proficiency in SQL, SemQL .and AI capabilities in SDP
• Experience with relational databases such as PostgreSQL, Oracle, or Microsoft SQL Server.
• Knowledge of data modeling, data quality management, and master data governance concepts.

• Experience developing and consuming REST/SOAP web services.

• Experience working with cloud platforms such as AWS and/or Microsoft Azure.

• Familiarity with application deployment, integrations, and cloud-based data solutions.

• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.
• Ability to collaborate effectively with business stakeholders and translate business requirements into technical solutions., * Experience with customer, vendor, product, loyalty, or booking master data domains.
• Knowledge of ETL/data integration tools and enterprise data architecture.
• Knowledge of AI and AI agents (such as Claude or Copilot)
• Experience working in Agile delivery environments.

The base compensation range for this role in the posted location is: $54,000 to $130,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

• Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave

• Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
• Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
• Life and disability insurance
• Employee assistance programs
• Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world., Capgemini is a global business and technology transformation partner, helping organizations to accelerate their dual transition to a digital and sustainable world, while creating tangible impact for enterprises and society. It is a responsible and diverse group of 340,000 team members in more than 50 countries. With its strong over 55-year heritage, Capgemini is trusted by its clients to unlock the value of technology to address the entire breadth of their business needs. It delivers end-to-end services and solutions leveraging strengths from strategy and design to engineering, all fueled by its market leading capabilities in AI, generative AI, cloud and data, combined with its deep industry expertise and partner ecosystem.