Lead Data Governance Engineer

Elantis is seeking a Lead Data Governance Engineer to drive hands-on enterprise data discovery, classification, and lifecycle management initiatives. The role also implements governance frameworks and integrates data governance and protection capabilities with security and compliance processes.

Responsibilities

• Lead enterprise-wide data discovery and classification initiatives across structured and unstructured data
• Implement automated data discovery, scanning, identification, and classification capabilities across enterprise environments
• Identify sensitive, confidential, regulated, and business-critical data across databases, file systems, cloud storage, data lakes, and enterprise applications
• Define and implement enterprise data classification taxonomies, labels, and tagging standards
• Lead tool evaluation, vendor selection, POCs, architecture, design, and implementation of data discovery and classification solutions
• Integrate discovery and classification capabilities with enterprise data governance, security, and compliance platforms
• Establish automated workflows for continuous discovery, classification, and monitoring
• Own end-to-end implementation of enterprise Data Lifecycle Management (DLM) capabilities
• Define and implement data retention, archival, disposition, purge, and deletion strategies
• Establish data minimization practices to reduce unnecessary data storage and exposure
• Develop lifecycle policies based on regulatory, legal, business, and operational requirements
• Lead requirements gathering, solution evaluation, POC, architecture, design, implementation, and operationalization
• Implement automated retention and deletion workflows across structured and unstructured data repositories
• Ensure lifecycle controls are integrated with enterprise data discovery, classification, governance, and security frameworks
• Establish monitoring, reporting, and audit mechanisms to demonstrate lifecycle compliance
• Design, implement, and operationalize enterprise data governance frameworks
• Define data ownership, stewardship, accountability, standards, policies, and procedures
• Establish data catalogs, business glossaries, metadata management, and data lineage capabilities
• Implement data quality, metadata, and governance workflows
• Work with business, IT, security, legal, and compliance stakeholders to translate governance requirements into technical solutions
• Implement and manage governance platforms such as Collibra, Alation, Informatica, or equivalent
• Ensure governance standards are integrated into discovery, classification, and lifecycle management processes
• Understand how data discovery and classification support enterprise data protection and DLP strategies
• Work with security teams to implement data protection controls based on data sensitivity and classification
• Support DLP policies and controls across endpoints, networks, cloud environments, email, and enterprise applications
• Understand data encryption, access controls, masking, tokenization, and sensitive data protection
• Integrate classification and governance capabilities with security and compliance solutions

Skills

• We are seeking an experienced Data Governance Engineer with strong hands-on expertise in Enterprise Data Discovery, Data Classification, and Data Lifecycle Management
• The ideal candidate will have personally led and delivered enterprise-wide initiatives from strategy and requirements gathering through tool evaluation, POC, architecture, design, implementation, and operationalization
• The candidate should have experience discovering and classifying both structured and unstructured enterprise data, implementing lifecycle management capabilities, and establishing governance frameworks
• Knowledge of Data Protection and Data Loss Prevention (DLP) is also important
• 8–12+ years of experience in Data Governance, Data Management, Data Security, or related areas
• Proven experience leading enterprise Data Discovery & Classification initiatives
• Strong hands-on experience implementing Data Lifecycle Management capabilities
• Demonstrated ownership of projects from strategy through operationalization
• Experience evaluating tools, conducting POCs, defining solution architecture, and driving implementations
• Strong understanding of enterprise data environments, including structured and unstructured data
• Experience with governance platforms such as Collibra, Alation, or Informatica
• Strong stakeholder management and cross-functional collaboration skills
• Experience with DLP implementation tools such as Microsoft Purview, Symantec DLP, Forcepoint, or equivalent is preferred

Company Overview

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