Description :

Role Overview

The Enterprise Data Management Administrator is responsible for administering, maintaining, and optimizing enterprise-wide data platforms, data governance frameworks, and master data systems.

This role ensures data integrity, availability, security, and compliance across the organization while supporting business users, analytics teams, and application owners with reliable and trusted data.

The role requires close collaboration with data architects, data engineers, business stakeholders, and compliance teams to enable scalable, governed, and high-quality data operations.

Key Responsibilities :

Enterprise Data Administration :

- Administer and support enterprise data platforms including data warehouses, data lakes, and master data management (MDM) systems.

- Manage metadata repositories, data catalogs, and reference data across enterprise systems.

- Monitor data pipelines, data refresh schedules, and batch/real-time data loads to ensure SLA adherence.

- Perform routine maintenance, performance tuning, and capacity planning for data platforms.

Data Governance & Compliance :

- Implement and enforce data governance policies, standards, and operating procedures.

- Support data classification, data lineage, data ownership, and stewardship models.

- Ensure compliance with regulatory and organizational standards (e.g., GDPR, SOX, HIPAA, ISO 27001, where applicable).

- Coordinate with security teams to enforce data access controls, encryption, and audit logging.

Data Quality & Master Data Management :

- Monitor and manage data quality rules, validations, and exception handling.

- Support data cleansing, deduplication, and standardization processes.

- Administer MDM tools to ensure consistency of key enterprise entities such as customers, products, vendors, and locations.

- Investigate data issues and work with business and technical teams for root cause analysis and resolution.

Platform & Tool Administration:

- Administer enterprise data tools such as:

Data Integration / ETL tools (Informatica, Talend, SSIS, ODI, etc.)

Data Governance & Catalog tools (Collibra, Alation, Apache Atlas, Purview)

MDM platforms (Informatica MDM, SAP MDG, Oracle EDM, Reltio)

- Manage user provisioning, role-based access, and environment configurations.

- Apply patches, upgrades, and configuration changes with minimal disruption.

Operational Support & Delivery:

- Provide Level 2/Level 3 support for enterprise data platforms.

- Troubleshoot data failures, performance issues, and data inconsistencies.

- Coordinate with vendors, cloud providers, and internal IT teams for issue resolution.

- Maintain operational documentation, runbooks, and SOPs.

Collaboration & Stakeholder Management:

- Work closely with data architects, data engineers, BI teams, and business users.

- Support enterprise analytics, reporting, and digital transformation initiatives.

- Act as a trusted data operations partner to business and IT stakeholders.

Required Skills & Qualifications:

Technical Skills :

- Strong experience in enterprise data management and administration.

- Hands-on experience with RDBMS (Oracle, SQL Server, PostgreSQL, MySQL).

- Knowledge of data warehousing concepts, dimensional modeling, and data integration.

- Experience with data governance, metadata management, and data quality frameworks.

- Proficiency in SQL for data analysis, validation, and troubleshooting.

- Understanding of cloud data platforms (AWS, Azure, or GCP) is highly desirable.

- Familiarity with scheduling tools and monitoring frameworks.

Governance & Security :

- Knowledge of data privacy regulations and compliance standards.

- Experience implementing role-based access control (RBAC) and data security policies.

- Understanding of data lifecycle management and retention policies.

Soft Skills :

- Strong analytical and problem-solving abilities.

- Excellent documentation and communication skills.

- Ability to manage multiple priorities in a complex enterprise environment.

- Strong stakeholder engagement and coordination skills.

Preferred Qualifications :

- Bachelors or Masters degree in Computer Science, Information Systems, or related field.

- Certifications in Data Management or Cloud Platforms (e.g., CDMP, Azure Data Engineer, AWS Data Analytics).

- Experience in regulated industries such as banking, insurance, healthcare, or telecom.

- Exposure to Agile / DevOps / DataOps practices