> Markdown version of [/jobs/ext/4418374-senior-data-steward](https://www.wearedevelopers.com/jobs/ext/4418374-senior-data-steward). Every page supports `.md` or `Accept: text/markdown`. Links point to the HTML versions so they work for humans too. Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Steward - **Company:** Wise Skulls llc - **Location:** New York, NY, United States - **Experience:** Expert - **Contract:** Permanent contract - **Skills:** 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, Data Management, Cloud Migration, Databricks - **Published:** October 22, 2026 - **Apply:** https://www.dice.com/job-detail/0a99dbee-ac39-42aa-9434-eee2757cb02b ## About the Role * 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. ## 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.