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Augment Professional Services • Houston, Texas, United States
Role & seniority: Platform Engineer / Data Governance Tool Admin (mid to senior level)
Stack/tools: Atlan (data governance), Monte Carlo (data quality), data catalogs, metadata management, data lineage, SSO and RBAC, APIs, Python, ETL frameworks, data connectors, governance dashboards
Platform engineering & administration: configure and maintain metadata, lineage, governance workflows; data quality profiling and monitoring
Integration & automation: build/maintain data source integrations, automate metadata ingestion and quality checks, configure connectors
Reliability, security & compliance: monitor performance, apply patches, implement logging/alerts, ensure GDPR/CCPA compliance, audit logging and access controls
Bachelor’s degree in CS, Data Eng, or related field
Hands-on experience with data governance/quality tools (e.g., Atlan, Monte Carlo or similar) including admin tasks and API integrations
Familiarity with data catalogs, lineage, metadata management; strong data governance and data quality framework knowledge
Experience with Data Mesh concepts and building data products/orchestration
Scripting/automation capability (Python) and API-based integration
Experience with Monte Carlo or similar platforms
Security tooling experience (encryption, audit logging) and compliance reporting
Vendor collaboration for advanced troubleshooting and roadmaps
Location & w
Role Overview
Responsible for the technical administration, integration, and optimization of data governance and data quality tools (e.g., Atlan and Monte Carlo). This role ensures these platforms are configured for scalability, integrated with enterprise data ecosystems, and maintained for high availability and performance. The position also supports automation, data quality monitoring, and compliance reporting.
Key Responsibilities
Platform Engineering & Administration Configure and maintain platform / tools for metadata management, lineage tracking, and governance workflows. Configure platform / tools for data quality profiling, rule creation, and monitoring dashboards. Manage user roles, authentication (SSO, RBAC), and security settings across both platforms. Integration & Automation Develop and maintain integrations between data sources (databases, data lakes, BI tools). Automate metadata ingestion and data quality checks using APIs, Python scripts, or ETL frameworks. Configure connectors for data and BI platforms. Tools Performance & Reliability Monitor system health and optimize performance. Apply patches, upgrades, and troubleshoot technical issues. Implement logging, alerting, and proactive monitoring for governance and quality environments. Technical Support & Issue Resolution Provide Tier 3 support for platform-related issues. Debug integration failures and resolve configuration conflicts. Collaborate with vendors for advanced troubleshooting and roadmap discussions. Security & Compliance Ensure platforms comply with data privacy and security standards (e.g., GDPR, CCPA). Implement encryption, access controls, and audit logging. Support compliance reporting and risk assessments using governance features and quality metrics.
Required Skills & Qualifications
Bachelor’s degree in Computer Science, Data Engineering, or a related field. Hands-on experience with data governance and data quality tools (e.g., Atlan and DQ Labs), including administration and API integrations. Familiarity with data catalogs, data lineage, and metadata management. Strong understanding of data governance principles and data quality frameworks. Knowledge of Data Mesh strategies. Experience in building data products and orchestration.