Analytica
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Azure Data Engineer
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Analytica Analytica is seeking a technically skilled
Azure Data Engineer
to lead the administration, integration, and technical optimization of our client’s Microsoft Purview environment. In this hands-on role, you will own the end-to-end management of the Purview platform, enabling automated metadata capture, data classification, and enterprise-wide discoverability of data assets. This role is best suited for an engineer or administrator with experience in cloud data ecosystems, platform integration, and metadata architecture—someone who can bridge infrastructure, governance, and analytics needs. Our company has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Key Responsibilities Serve as the technical owner and administrator for Microsoft Purview, configuring collections, scan rules, integration pipelines, and access controls Automate metadata ingestion and lineage capture from Azure services (Synapse, ADLS, SQL DBs, Power BI) and external sources (Snowflake, SAP, Oracle, etc.) Build and maintain custom classifiers, sensitivity labels, and data asset registration routines Integrate Purview with existing data pipelines, CI/CD workflows, or APIs for catalog updates Design and maintain technical metadata models, business glossaries, and term hierarchies Troubleshoot and optimize Purview scans, self-hosted IRs, and service dependencies Implement RBAC and access policies for secure catalog usage Collaborate with data engineers, platform teams, and stewards to improve metadata quality and catalog adoption Stay current on Microsoft roadmap updates and evolving best practices in metadata management Minimum Qualifications 4+ years of experience in cloud data engineering, platform administration, or data governance technology roles Familiarity with Azure Data Services: Synapse, Data Lake Gen2, Azure SQL, Power BI Understanding of data catalog structures, metadata types, and data lineage concepts Ability to troubleshoot scanning issues, IR agent errors, and permission gaps across data sources Preferred Qualifications 1+ years of hands-on experience with Microsoft Purview in a production or enterprise setting Experience with Databricks Experience with Azure Data Factory, or non-Azure metadata sources Proficiency with PowerShell, Azure CLI, or Python for platform automation and API use preferred Exposure to CI/CD integration, DevOps practices, or API-based platform management Familiarity with compliance requirements (GDPR, HIPAA, FedRAMP) and data classification frameworks Microsoft certifications in Azure Data Engineering, Purview, or Security Soft Skills Strong documentation habits and platform discipline Comfortable with direct support of clients Detail-oriented, proactive in resolving system issues Effective communicator in cross-functional settings Analytica is an equal opportunity employer and welcomes applications from diverse candidates.
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Azure Data Engineer
role at
Analytica Analytica is seeking a technically skilled
Azure Data Engineer
to lead the administration, integration, and technical optimization of our client’s Microsoft Purview environment. In this hands-on role, you will own the end-to-end management of the Purview platform, enabling automated metadata capture, data classification, and enterprise-wide discoverability of data assets. This role is best suited for an engineer or administrator with experience in cloud data ecosystems, platform integration, and metadata architecture—someone who can bridge infrastructure, governance, and analytics needs. Our company has been recognized by Inc. Magazine as one of the fastest-growing 250 businesses in the US for 3 years. We work with U.S. government clients in health, civilian, and national security missions to build better technology products that impact our day-to-day lives. The company offers competitive compensation with opportunities for bonuses, employer-paid health care, training and development funds, and 401k match. Key Responsibilities Serve as the technical owner and administrator for Microsoft Purview, configuring collections, scan rules, integration pipelines, and access controls Automate metadata ingestion and lineage capture from Azure services (Synapse, ADLS, SQL DBs, Power BI) and external sources (Snowflake, SAP, Oracle, etc.) Build and maintain custom classifiers, sensitivity labels, and data asset registration routines Integrate Purview with existing data pipelines, CI/CD workflows, or APIs for catalog updates Design and maintain technical metadata models, business glossaries, and term hierarchies Troubleshoot and optimize Purview scans, self-hosted IRs, and service dependencies Implement RBAC and access policies for secure catalog usage Collaborate with data engineers, platform teams, and stewards to improve metadata quality and catalog adoption Stay current on Microsoft roadmap updates and evolving best practices in metadata management Minimum Qualifications 4+ years of experience in cloud data engineering, platform administration, or data governance technology roles Familiarity with Azure Data Services: Synapse, Data Lake Gen2, Azure SQL, Power BI Understanding of data catalog structures, metadata types, and data lineage concepts Ability to troubleshoot scanning issues, IR agent errors, and permission gaps across data sources Preferred Qualifications 1+ years of hands-on experience with Microsoft Purview in a production or enterprise setting Experience with Databricks Experience with Azure Data Factory, or non-Azure metadata sources Proficiency with PowerShell, Azure CLI, or Python for platform automation and API use preferred Exposure to CI/CD integration, DevOps practices, or API-based platform management Familiarity with compliance requirements (GDPR, HIPAA, FedRAMP) and data classification frameworks Microsoft certifications in Azure Data Engineering, Purview, or Security Soft Skills Strong documentation habits and platform discipline Comfortable with direct support of clients Detail-oriented, proactive in resolving system issues Effective communicator in cross-functional settings Analytica is an equal opportunity employer and welcomes applications from diverse candidates.
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