MCubeSoft
Data Governance Specialist
⭐ - Featured Role | Apply direct with Data Freelance Hub
This role is for a Data Governance Specialist in Washington D.C. for 6-12 months, offering a pay rate of "unknown." Requires banking domain experience, expertise in Collibra and Databricks, and skills in data quality and governance integration.
🌎 - Country
United States
💱 - Currency
$ USD
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💰 - Day rate
Unknown
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🗓️ - Date
April 10, 2026
🕒 - Duration
More than 6 months
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🏝️ - Location
On-site
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📄 - Contract
Unknown
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🔒 - Security
Unknown
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📍 - Location detailed
Washington, DC
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🧠 - Skills detailed
#Data Access #Databricks #Metadata #Data Governance #Data Management #Monitoring #Observability #Data Engineering #Collibra #Security #Data Quality
Role description
We are hiring Data Governance Specialist . Please share resumes at Akanksha@mcubesoft.com
Data Governance Specialist
Location: Washington D.C, VA - Onsite
Duration: 6-12 Months
Banking domain must
Experience in implementing enterprise data governance tooling, including Collibra for metadata management, lineage, stewardship, and governance workflows
Strong knowledge of Databricks platforms, including integration of governance controls and use of Unity Catalog concepts for secure, governed data access
Have embedded governance into data engineering pipelines, using policy as code, standardized patterns, and CI/CD integration
Implemented data quality/data observability capabilities, including monitoring freshness, volume, schema drift, and SLA adherence
Collaborated with with data engineers, architects, and security teams to deliver trusted, governed data products
We are hiring Data Governance Specialist . Please share resumes at Akanksha@mcubesoft.com
Data Governance Specialist
Location: Washington D.C, VA - Onsite
Duration: 6-12 Months
Banking domain must
Experience in implementing enterprise data governance tooling, including Collibra for metadata management, lineage, stewardship, and governance workflows
Strong knowledge of Databricks platforms, including integration of governance controls and use of Unity Catalog concepts for secure, governed data access
Have embedded governance into data engineering pipelines, using policy as code, standardized patterns, and CI/CD integration
Implemented data quality/data observability capabilities, including monitoring freshness, volume, schema drift, and SLA adherence
Collaborated with with data engineers, architects, and security teams to deliver trusted, governed data products
