Senior Technical Lead

Job Summary

Job Description: Reltio MDM Service Delivery Engineer / Specialist

Position Title

Reltio MDM Service Delivery Engineer (24X7 support)

Position Summary

 We are seeking a highly skilled Reltio MDM Service Delivery Engineer to support and enhance our Master Data Management (MDM) platform. The ideal candidate will have strong experience with Reltio MDM, Python development, SQL, workflow orchestration (DAGs), API integrations, and service delivery operations. This role will be responsible for maintaining, optimizing, and supporting enterprise master data processes while ensuring high-quality data integration and operational excellence.

Key Responsibilities:

• Support and maintain the Reltio Master Data Management (MDM) platform and associated integrations.
• Design, develop, and optimize data processing workflows using Python and DAG-based orchestration tools (e.g., Airflow).
• Develop and maintain complex SQL queries, data validation logic, and reporting solutions.
• Build, enhance, and troubleshoot REST APIs and system integrations between MDM and downstream applications.
• Monitor production environments, investigate incidents, perform root cause analysis, and implement corrective actions.
• Collaborate with business stakeholders, data stewards, architects, and technical teams to support master data initiatives.
• Ensure data quality, governance, matching, survivorship, and hierarchy management processes are implemented effectively within Reltio.
• Manage application releases, deployments, and environment support activities.
• Participate in service delivery processes, including incident management, problem management, change management, and SLA adherence.
• Create and maintain technical documentation, support runbooks, and operational procedures.
• Identify opportunities for automation and continuous improvement within the MDM ecosystem.

Key Responsibilities

Job Description: Reltio MDM Service Delivery Engineer / Specialist

Position Title

Reltio MDM Service Delivery Engineer (24X7 support)

Position Summary

 We are seeking a highly skilled Reltio MDM Service Delivery Engineer to support and enhance our Master Data Management (MDM) platform. The ideal candidate will have strong experience with Reltio MDM, Python development, SQL, workflow orchestration (DAGs), API integrations, and service delivery operations. This role will be responsible for maintaining, optimizing, and supporting enterprise master data processes while ensuring high-quality data integration and operational excellence.

Key Responsibilities:

• Support and maintain the Reltio Master Data Management (MDM) platform and associated integrations.
• Design, develop, and optimize data processing workflows using Python and DAG-based orchestration tools (e.g., Airflow).
• Develop and maintain complex SQL queries, data validation logic, and reporting solutions.
• Build, enhance, and troubleshoot REST APIs and system integrations between MDM and downstream applications.
• Monitor production environments, investigate incidents, perform root cause analysis, and implement corrective actions.
• Collaborate with business stakeholders, data stewards, architects, and technical teams to support master data initiatives.
• Ensure data quality, governance, matching, survivorship, and hierarchy management processes are implemented effectively within Reltio.
• Manage application releases, deployments, and environment support activities.
• Participate in service delivery processes, including incident management, problem management, change management, and SLA adherence.
• Create and maintain technical documentation, support runbooks, and operational procedures.
• Identify opportunities for automation and continuous improvement within the MDM ecosystem.

Skill Requirements

Required Qualifications:

• Bachelor's degree in Computer Science, Information Systems, Engineering, or a related field.
• 3-7+ years of experience in Master Data Management and data integration projects.
• Hands-on experience with Reltio MDM implementation, support, or administration.
• Strong programming experience in Python.
• Advanced knowledge of SQL and relational databases.
• Experience designing and supporting DAG-based workflows (e.g., Apache Airflow or similar orchestration platforms).
• Experience working with RESTful APIs, JSON, and system integrations.
• Knowledge of data quality, data governance, matching, survivorship, and data stewardship concepts.
• Experience in production support and service delivery operations.
• Strong analytical, troubleshooting, and problem-solving skills.
• Excellent communication and stakeholder management abilities.

Preferred Qualifications:

• Experience integrating Reltio with cloud platforms such as Azure, AWS, or GCP.
• Knowledge of ETL/ELT tools and data pipeline development.
• Understanding of MDM migration projects and data consolidation initiatives.
• Experience working in Agile/Scrum environments.
• Relevant certifications in Reltio, cloud technologies, or data management are a plus.

• Key Skills:

  • Reltio MDM
  • Python
  • SQL
  • DAG / Workflow Orchestration (Airflow Preferred)
  • REST APIs
  • Service Delivery & Production Support
  • Data Quality & Data Governance
  • Incident & Problem Management
  • Integration & Data Pipelines
  • Root Cause Analysis
  • Success Measures

   

  The successful candidate will:

  • Maintain high platform availability and SLA compliance.
  • Improve data quality and master data accuracy.
  • Deliver reliable integrations and workflow automation.
  • Reduce operational issues through proactive monitoring and continuous improvement.
  • Partner effectively with business and technical teams to support enterprise data management objectives.

   

  NOTE: Candidate must be willing to work in India Night shifts as this is 24x7 support project

Other Requirements

Key Skills:

• Reltio MDM
• Python
• SQL
• DAG / Workflow Orchestration (Airflow Preferred)
• REST APIs
• Service Delivery & Production Support
• Data Quality & Data Governance
• Incident & Problem Management
• Integration & Data Pipelines
• Root Cause Analysis
• Success Measures

The successful candidate will:

• Maintain high platform availability and SLA compliance.
• Improve data quality and master data accuracy.
• Deliver reliable integrations and workflow automation.
• Reduce operational issues through proactive monitoring and continuous improvement.
• Partner effectively with business and technical teams to support enterprise data management objectives.

NOTE: Candidate must be willing to work in India Night shifts as this is 24x7 support project