DataOps Engineer job in Montpelier

DataOps & Data Quality

• Develop and maintain data quality rules, validation frameworks, and monitoring processes
• Implement statistical process control (SPC) and anomaly detection to ensure data reliability
• Support incident logging, triage, root-cause analysis, and continuous improvement efforts

Data Governance & Metadata

• Define and maintain metadata standards, data glossary entries, and end-to-end data lineage
• Establish governance procedures, SOPs, and disclosure/suppression rules
• Translate downstream analytics and governance requirements into clear upstream data specifications

Analytics & Business Intelligence

• Design and support governed semantic data models
• Assist with the development and validation of standardized dashboards and reports
• Ensure data accuracy, refresh reliability, and compliance with governance standards

Platforms & Tools

• Work within platforms such as Azure DevOps, cloud-based data lakes, and BI tools
• Maintain operational dashboards, KPIs, and performance metrics
• Support agile workflows, documentation repositories, and collaboration tools

Enablement & Collaboration

• Partner with internal teams through hands-on co-development sessions
• Create and maintain Wikis, runbooks, and playbooks for long-term ownership
• Deliver role-based training and support organizational readiness initiatives

The ideal candidate will combine strong technical expertise with the ability to collaborate closely with internal teams through hands-on delivery, documentation, and knowledge transfer. The engagement emphasizes long-term sustainability, staff enablement, and repeatable best practices rather than one-time development., * Proven experience as a DataOps Engineer, Data Engineer, Analytics Engineer, or similar role

• Strong background in data quality engineering, governance, and analytics enablement
• Experience with:

• Azure DevOps or similar workflow tools
• Business intelligence platforms (e.g., Power BI or equivalent)
• Cloud data platforms (Azure, AWS, or similar)

• Experience working in Agile or iterative delivery environments
• Strong documentation, communication, and stakeholder collaboration skills
• Ability to work independently in a remote environment

Preferred Qualifications

• Certifications such as:

• Azure Data Engineer
• Power BI Data Analyst
• Databricks Data Engineer
• Data Governance or Data Management certifications

• Experience in healthcare, public sector, or highly regulated data environments
• Familiarity with change management and operational enablement practices #DataOps #DataEngineering #CloudData #AzureDevOps #PowerBI #DataGovernance #AnalyticsJobs