Senior Data Steward
Wise Skulls llc
New York, NY, United States
14 days ago
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Role details
Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Experience level
Expert
Experience required
6 years minimum
Working hours
Regular working hours
Job source
Tech stack
Artificial Intelligence
Amazon Web Services
Cyber Security
Data Dictionary
Data Governance
Data Profiling
Identity and Access Management
Metadata
Standard Sql
Data Classification
Data Lakes
Collibra
+3 more
Data Management
Cloud Migration
Databricks
Job description
- We are looking for a Senior Data Steward to help build practical, enterprise-wide data governance
- across business domains and a modern AWS/Databricks ecosystem.
- You will partner with business Data Owners, Product, Privacy, and Engineering teams to translate
- business needs into clear ownership, trusted definitions, data contracts, quality standards, and scalable
- controls-ensuring critical data is trustworthy and fit for reporting, analytics, and AI.
What You’ll Own
- Partner with business Data Owners and subject-matter experts to establish data ownership,
- critical data elements, business definitions, glossaries, data dictionaries, and metadata.
- Define data contracts and quality expectations, including SLAs, schema-change controls, and
- producer-consumer accountability.
- Classify PII and sensitive data and translate privacy, access, retention, and permitted-use
- requirements into practical controls.
- Maintain end-to-end business and technical lineage across source systems, pipelines, and
- analytical data products.
- Lead governance discussions, prioritize issues based on business impact, and coordinate
- remediation of material data-quality concerns.
- Embed consistent governance standards, measurable controls, and stewardship practices into
- AWS and Databricks modernization initiatives.
Requirements
- 7+ yrs of experience in data governance, data stewardship, data quality, or data management.
- Experience building or maturing governance capabilities, not just operating established
- processes.
- Strong knowledge of metadata, lineage, data classification, privacy, access governance, data
- quality, and data contracts.
- Working knowledge of SQL, data profiling, root-cause analysis, and modern cloud platforms.
- Experience with an enterprise data catalog or governance platform such as Databricks Unity
- Catalog, Collibra, Alation, or Informatica.
- Strong facilitation and stakeholder-management skills across business, Product, Engineering,
- Privacy, Cybersecurity, Risk, and executive teams.
Preferred Experience
- Hands-on exposure to Databricks, Unity Catalog, Delta Lake, and AWS.
- Experience with media and streaming domains such as content, audience, advertising,
- subscriptions, customer identity, or digital engagement.
- Experience supporting large-scale cloud modernization and governed analytics or AI use cases.
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Prepare application
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- Open in Claude
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