Sr Purview Engineer
2 weeks ago
Job Title: Sr Purview Engineer / Sr Data Governance Engineer
Location: Dallas, TX
Duration: Long-term
Mode: Hybrid
Should have 12+ years of IT experience
Responsibilities:
Build and manage our Microsoft Purview governance capability platform, data assets, and integrations with data sources. Formulate, suggest, and implement new ideas/features/delivery methods for our meta-data infrastructure, focused on cloud technologies and business applications.
Configure and implement a Catalog on Microsoft purview. Perform Scan, Search, Update, and other features with system components, evolving it for required user experience and performance
Experience in implementing various enterprise data catalog & lineage capabilities with other tools like Informatica, Collibra, Alation, or similar tools
3+ years of experience configuring and implementing Data Catalog products and services within cloud platforms
Develop and maintain custom object definitions to enhance the metadata capabilities of Purview.
Work with Data Governance leads to help in backlog management and delivery cycles for the Data Governance ecosystem improvements.
Support the governance of data sources in our multi-cloud, multi-region business application environment (Azure, AWS, on-prem).
In collaboration with other data engineers, testing engineers, and platform architects, own, build, test, and implement new features and functionalities in our Corporate Data Governance ecosystem with a focus on quality and customer-centricity
Required qualifications to be successful in this role
Bachelor's or advanced degree in Computer Science, Information Technology, or a related field.
Good experience building scalable software applications (preferably cloud-based)
Experience with data classification, data lineage, and metadata management
Proven experience in data engineering, data integration, and Purview implementation, specifically:
Microsoft Purview
Cloud deployments and cloud implementations
Data governance
Data integration
Data architecture
Data management
Familiarity with data modeling, ETL processes, and data warehousing concepts.
Knowledge of data governance, compliance, and security principles.
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