Data Governance & Data Quality Platform Engineer

Description

Position Overview

We are seeking a Data Governance & Data Quality Platform Engineer to own the technical administration, integration, and optimization of enterprise data governance and data quality platforms (e.g., Atlan, Monte Carlo). This role ensures governance and quality tools are scalable, securely integrated into the enterprise data ecosystem, and maintained for high availability and performance.

The ideal candidate brings strong platform engineering skills, experience automating data quality and metadata workflows, and a solid understanding of governance, compliance, and modern data architectures.

Key Responsibilities

1. Platform Engineering & Administration

• Configure and maintain data governance platforms for metadata management, data lineage, and governance workflows
• Configure data quality tools for profiling, rule creation, and monitoring dashboards
• Manage platform security, including user roles, authentication, SSO, RBAC, and access controls

e2. Integration & Automation

• Develop and maintain integrations across data sources, databases, data lakes, and BI tools
• Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks
• Configure and maintain connectors for analytics and reporting platforms

3. Performance, Reliability & Monitoring

• Monitor platform health and optimize performance and scalability
• Apply upgrades, patches, and troubleshoot technical issues
• Implement logging, alerting, and proactive monitoring for governance and data quality environments

a4. Technical Support & Issue Resolution

• Provide Tier 3 support for platform-related incidents and escalations
• Debug integration failures and resolve configuration conflicts
• Collaborate with vendors for advanced troubleshooting and roadmap alignment

r5. Security, Compliance & Risk Management

• Ensure platforms comply with data privacy and security standards (e.g., GDPR, CCPA)
• Implement encryption, audit logging, and access controls
• Support compliance reporting and risk assessments using governance and data quality metrics

Requirements

Required Skills & Qualifications

• Bachelor's degree in Computer Science, Data Engineering, or a related field
• Hands-on experience administering data governance and data quality platforms (e.g., Atlan, Monte Carlo, DQ tools), including API-based integrations
• Strong understanding of data catalogs, data lineage, and metadata management
• Solid knowledge of data governance principles and data quality frameworks
• Familiarity with Data Mesh concepts and decentralized data ownership models
• Experience building data products and supporting orchestration workflows

Preferred Qualifications

• Experience working in modern cloud or hybrid data environments
• Familiarity with BI and analytics platforms and their metadata integrations
• Strong scripting or automation experience (Python preferred)
• Excellent troubleshooting, documentation, and cross-functional communication skills

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