MDM Platform Administrator

Role Description:

We are seeking an MDM Admin/Infrastructure Resource with 25 years of experience to support and maintain our enterprise MDM (Master Data Management) platforms using Informatica MDM and IDQ. This role is critical in ensuring the reliability, availability, and performance of master data solutions across the organization, utilizing modern tools like Databricks and AWS for automation, backup, recovery, and preventive maintenance. The ideal candidate will have strong experience in server maintenance, data recovery, data backup, and MDM software support.

Roles & Responsibilities:

• Administer and maintain customer, product, study master data using Informatica MDM and IDQ solutions.
• Perform data recovery and data backup processes to ensure master data integrity.
• Conduct server maintenance and preventive maintenance activities to ensure system reliability.
• Leverage Unix/Linux, Python, and Databricks for scalable data processing and automation.
• Collaborate with business and data engineering teams for continuous improvement in MDM solutions.
• Implement automation processes for data backup, recovery, and preventive maintenance.
• Utilize AWS cloud services for data storage and compute processes related to MDM.
• Support MDM software maintenance and upgrades.
• Track and manage data issues using tools such as JIRA and document processes in Confluence.
• Apply Life Sciences/Pharma industry context to ensure data standards and compliance.

Functional Skills:

Must-Have Skills:

• Strong experience with Informatica MDM, IDQ platforms in administering and maintaining configurations
• Strong experience in data recovery and data backup processes
• Strong experience in server maintenance and preventive maintenance activities (Linux/Unix strong hands on and server upgrade experience)
• Expertise in handling data backups, server backups, MDM products upgrades, server upgrades
• Good understanding and hands on experience of access control
• Experience with IDQ, data modeling, and approval workflow/DCR
• Advanced SQL expertise and data wrangling
• Knowledge of MDM, data governance, stewardship, and profiling practices

Good-to-Have Skills:

• Familiarity with Databricks and AWS architecture
• Background in Life Sciences/Pharma industries
• Familiarity with project tools like JIRA and Confluence
• Basics of data engineering concepts

Basic Qualifications and Experience:

• Masters degree with 1 - 3 years of experience in Business, Engineering, IT or related field OR
• Bachelors degree with 2 - 5 years of experience in Business, Engineering, IT or related field OR
• Diploma with 6 - 8 years of experience in Business, Engineering, IT or related field

Professional Certifications (preferred):

• Any ETL certification (e.g., Informatica)
• Any Data Analysis certification (SQL)
• Any cloud certification (AWS or Azure)

Soft Skills:

• Excellent written and verbal communications skills (English) in translating technology content into business-language at various levels
• Ability to work effectively with global, virtual teams
• High degree of initiative and self-motivation
• Ability to manage multiple priorities successfully
• Team-oriented, with a focus on achieving team goals
• Strong problem-solving and analytical skills.
• Strong time and task management skills to estimate and successfully meet project timeline with ability to bring consistency and quality assurance across various projects.