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Augment Professional Services • Houston, Texas, United States
Salary: $80 - $90 / hour
Role & seniority: Platform Engineer / Data Governance Specialist (seniority not specified)
Stack/tools: Atlan, Monte Carlo (data governance and data quality tools); data catalogs, lineage, metadata management; SSO, RBAC; APIs; Python; ETL; data sources (databases, data lakes), BI tools
Platform engineering & administration: configure and maintain governance and quality platforms, manage roles and security
Integration & automation: build integrations with data sources, automate metadata ingestion and quality checks
Tools performance & reliability: monitor health, apply patches, implement logging/alerting, troubleshoot issues
Bachelor’s degree in CS, Data Engineering, or related field
Hands-on with data governance/quality tools (Atlan, DQ Labs) including administration and API integrations
Familiarity with data catalogs, lineage, metadata management; strong data governance & quality framework knowledge
Experience with Data Mesh concepts; building data products and orchestration
Experience with Monte Carlo; security/compliance reporting; vendor collaboration; scripting/automation proficiency beyond Python
Location & work type: Houston, TX 77002; work type not specified
Job DetailsJob Location: Houston, TX 77002Salary Range: $80.00 - $90.00 HourlyRole 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 1. 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. 2. 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. 3. 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. 4. 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. 5. 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. Qualifications