What are the responsibilities and job description for the Data Catalog Engineer position at Analytica?
Analytica is seeking a technically skilled Data Catalog 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
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Key Responsibiliti
- esServe as the technical owner and administrator for Microsoft Purview, configuring collections, scan rules, integration pipelines, and access control
- s.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 routine
- s.Integrate Purview with existing data pipelines, CI/CD workflows, or APIs for catalog update
- s.Design and maintain technical metadata models, business glossaries, and term hierarchie
- s.Troubleshoot and optimize Purview scans, self-hosted IRs, and service dependencie
- s.Implement RBAC and access policies for secure catalog usag
- e.Collaborate with data engineers, platform teams, and stewards to improve metadata quality and catalog adoptio
- n.Stay current on Microsoft roadmap updates and evolving best practices in metadata managemen
t.Minimum Qualificatio
- ns4 years of experience in cloud data engineering, platform administration, or data governance technology role
- s.1 years of hands-on experience with Microsoft Purview in a production or enterprise settin
- g.Experience with Databric
- ksDeep familiarity with Azure Data Services: Synapse, Data Lake Gen2, Azure SQL, Power B
- I.Understanding of data catalog structures, metadata types, and data lineage concept
- s.Experience configuring RBAC, collections, and managed identities in Azur
- e.Ability to troubleshoot scanning issues, IR agent errors, and permission gaps across data source
s.Preferred Qualificatio
- nsExperience with Azure Data Factory, Databricks, or non-Azure metadata source
- s.Proficiency with PowerShell, Azure CLI, or Python for platform automation and API use preferr
- edExposure to CI/CD integration, DevOps practices, or API-based platform managemen
- t.Familiarity with compliance requirements (GDPR, HIPAA, FedRAMP) and data classification framework
- s.Microsoft certifications in Azure Data Engineering, Purview, or Securit
y.Soft Skil
- lsStrong documentation habits and platform disciplin
- e.Comfortable with direct support of client
- s.Detail-oriented, proactive in resolving system issue
- s.Effective communicator in cross-functional setting
