Data modeler Jobs in Ajax, ON

We are currently requesting resumes for the following position: Senior Solution Configurator

Resume Due Date: Tuesday, May 12th, (5:00PM EST)

Job ID: 26-

Number of Vacancies: 2

Level: MP4

Duration: 12 Months

Hours of work: 35 Hours per week

Location: Colonel Sam Drive, Oshawa

Work Mode: Hybrid – 3 days remote

Hourly Range: $90 – $95

Job Overview

The Senior Solution Configurator – Data Migration is responsible for supporting the migration of enterprise data from SAP ECC to SAP S/4HANA.

Key Responsibilities

• Lead data migration development and configuration activities for the transition from ECC to S/4HANA, ensuring alignment with project architecture, data governance standards, and migration strategy.
• Design, configure, and execute end‑to‑end migration processes using Syniti ADMM/ADM, including data extraction, transformation, validation, and load preparation.
• Utilize SAP’s “Migrate Your Data” app to manage staging tables, mapping rules, conversion logic, and load execution using IDoc, BAPI, and other supported methods.
• Analyze SAP ECC and S/4HANA data models to identify dependencies, data quality issues, and transformation requirements across master data and transactional data domains.
• Develop and optimize complex SQL queries, stored procedures, and transformation logic in SQL Server or Sybase to support data cleansing, validation, and reconciliation.
• Troubleshoot data quality defects, migration errors, and load failures, collaborating with functional teams and business stakeholders to resolve pre‑ and post‑load validation issues.
• Participate in migration cutover planning, mock conversions, defect resolution cycles, and iterative testing to ensure readiness for production deployment.
• Prepare technical documentation, mapping specifications, validation reports, and audit‑ready artifacts to support governance, traceability, and compliance requirements.

Qualifications

• 5+ years of hands‑on SAP data migration experience, including at least 2–3 years working with Syniti ADMM/ADM.
• Strong understanding of Syniti ADMM platform architecture, design principles, and end‑to‑end configuration of migration projects.
• Successful participation in 2–3 full lifecycle SAP S/4HANA data migration or implementation projects.
• Deep knowledge of SAP ECC and SAP S/4HANA data models, including master data, transactional data, and cross‑module dependencies.
• Proven expertise with SAP’s “Migrate Your Data” app, including staging tables, mapping, conversion objects, and load execution methods (IDoc, BAPI).
• Advanced SQL skills, including writing complex queries, stored procedures, and transformation logic in SQL Server or Sybase.
• Experience troubleshooting data quality issues, migration defects, load failures, and validation discrepancies in collaboration with technical and business teams.

Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to: Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. We are committed to an inclusive and accessible work environment and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports our client’s long-term strategy for equity, diversity, and inclusion.

CPUS Engineering employs artificial intelligence (AI) tools as part of its recruitment process to enhance efficiency and consistency. These tools may assist with activities such as application screening, candidate evaluation, and summarization of interview feedback.

AI-generated outputs are intended to supplement, not replace, human judgment. All final hiring decisions are made by qualified human decision-makers who exercise professional discretion in reviewing and assessing candidate information alongside any AI-generated insights.

CPUS Engineering ensures that the use of AI in recruitment complies with all applicable employment laws, human rights legislation, and privacy regulations. The organization is committed to maintaining fairness, transparency, and non-discrimination throughout the hiring process.