Sr Purview Engineer - Dallas, United States - InfoVision Inc.

Description

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.