Software Development, Sr Associate - 18467

We Are:

At Synopsys, we drive the innovations that shape the way we live and connect. Our technology is central to the Era of Pervasive Intelligence, from self-driving cars to learning machines. We lead in chip design, verification, and IP integration, empowering the creation of high-performance silicon chips and software content. Join us to transform the future through continuous technological innovation.

Job Summary

We are seeking a highly motivated Software Development, Sr Associate to join our Enterprise Data Management team. In this role, you will design, develop, and support Informatica Master Data Management (MDM) solutions that ensure trusted, high-quality master data across enterprise systems. You will collaborate with business and technical stakeholders to deliver scalable data solutions, improve data quality, and support AI-driven automation initiatives that accelerate business efficiency and digital transformation.

Key Responsibilities

• Design, develop, enhance, and support Informatica MDM solutions.
• Configure and maintain MDM functionalities including Match/Merge, Survivorship Rules, Hierarchies, and Data Models.
• Develop, optimize, and troubleshoot complex SQL queries, stored procedures, and integrations.
• Support data quality management, governance, and master data initiatives.
• Investigate and resolve MDM, integration, and data quality issues.
• Develop and support ETL processes using Informatica PowerCenter, IICS, IDMC, or similar technologies.
• Collaborate with cross-functional teams to understand business requirements and implement effective data solutions.
• Contribute to AI/GenAI-driven automation and data management initiatives.
• Ensure adherence to data governance standards, best practices, and enterprise architecture guidelines.
• Participate in continuous improvement efforts to enhance data accuracy, operational efficiency, and system performance.

Required Qualifications

• Bachelor's degree in Computer Science, Information Technology, Engineering, or a related field.
• 3-5 years of hands-on experience with Informatica MDM development and support.
• Strong understanding of Master Data Management concepts including:
  • Match and Merge
  • Survivorship Rules
  • Data Modeling
  • Data Quality Management
• Advanced SQL skills with experience in SQL Server and/or Oracle.
• Programming experience in Java and/or Python.
• Experience with ETL development using Informatica PowerCenter, IICS, IDMC, or similar tools.
• Strong analytical, troubleshooting, and problem-solving skills.

Preferred Qualifications

• Experience with AI, GenAI, and automation technologies.
• Knowledge of data governance frameworks and best practices.
• Experience working in large-scale enterprise environments.
• Familiarity with cloud-based data integration and management platforms.

Key Competencies

• Strong ownership mindset and accountability.
• Excellent communication and stakeholder management skills.
• Ability to work effectively in a collaborative team environment.
• Quick learner with adaptability to new technologies and business needs.
• Passion for innovation, automation, and continuous improvement.
• Strong attention to detail and commitment to data accuracy.

About the Team

The Enterprise Data Management team drives data quality, governance, and master data excellence across the organization. The team focuses on delivering scalable MDM solutions while leveraging AI and automation capabilities to improve business processes, operational efficiency, and decision-making.

Impact

This role plays a critical part in enabling trusted, high-quality master data across enterprise systems, supporting business operations, analytics, reporting, and digital transformation initiatives throughout the organization.

Rewards and Benefits:

We offer a comprehensive range of health, wellness, and financial benefits to cater to your needs. Our total rewards include both monetary and non-monetary offerings. Your recruiter will provide more details about the salary range and benefits during the hiring process.