Master Data Architect/Engineer Professional
2 weeks ago
About the Role
This position requires a seasoned professional with extensive experience in designing and implementing MDM solutions. The ideal candidate will have expertise in data architecture, data engineering, and software development, as well as hands-on experience with process automation and orchestration tools.
Main Responsibilities- Develop and implement MDM solutions to ensure data consistency, accuracy, and reliability across various domains.
- Collaborate with enterprise architecture teams to establish standards and develop data quality and governance processes.
- Design and evaluate complex ELT/ETL tasks to streamline data processing.
- Create and customize data models, apps, and develop data integration and workflow automations.
- Implement quality rules and business rules to ensure high performance and availability of MDM services.
- Lead project activities and collaborate with cross-functional teams to drive results.
- Manage data ingestion, profiling, cleansing, transformation, modeling, and master record creation to maintain accurate data.
- Optimize and maintain data processing systems for performance, scalability, and reliability to meet business needs.
- Document technical specifications, solutions, and processes to facilitate knowledge sharing.
- Ensure compliance with data privacy and security regulations to protect sensitive information.
- Conduct regular audits and assessments of data processes to identify areas for improvement.
- Stay up-to-date with the latest trends and advancements in MDM and data architecture to inform strategic decisions.
- 8+ years of experience in Data Architect, Data Engineering, software development, or similar roles.
- Proven experience with SAP S4 Hana, MDM tools, Celonis, including master data management, data engineering, app development, and automation.
- Proficiency in MDM architecture, data engineering, and software development, with experience in Python, SQL.
- Proficiency in data modeling, MDM systems, and governance practices to ensure data integrity.
- Familiarity with enterprise systems (SAP, CRM, HRM) and integrating data into Celonis to support business operations.
- Hands-on experience with process automation and orchestration tools is an asset.
- Experience in leading and mentoring junior data engineers to grow their skills.
- Ability to translate business problems into implementable solutions to drive business value.
- Strong written and verbal communication skills to effectively collaborate with stakeholders.
- Bachelor's Degree in Computer Science, Data Engineering, or related field; Master's Degree preferred.
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