Data Architect Jobs in New York
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Senior Data Engineer
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...
Senior Data Engineer
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...
VP, Data & Enterprise Architecture
What You'll DoThe Vice President, Data & Enterprise Architecture will provide strategic leadership across enterprise technology, data, architecture, and modernization initiatives. This individual will establish a long-term technology architecture that supports business growth, operational efficiency, scalability, and innovation.The role will partne...
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IAM Analyst
About the OpportunityA global financial services organization is seeking an Identity & Access Management (IAM) Analyst to support enterprise-wide access governance, user entitlement administration, and privileged access controls. This individual will play a key role in maintaining a secure access environment by ensuring employees, contractors, and ...
Third Party Cyber Risk Analyst
Third-Party Cyber Risk AnalystA global financial services organization is seeking an Information Security & Third-Party Risk Analyst to support the oversight of vendor and external partner risk. This individual will play a key role in evaluating the cybersecurity posture of suppliers, service providers, and other external organizations that support...
Senior Data Engineer
ResponsibilitiesBuild and optimize scalable data pipelines and data products.Develop reliable datasets for analytics, reporting, and AI applications.Establish data engineering standards, frameworks, and best practices.Improve data quality, monitoring, testing, and platform observability.Integrate and reconcile complex datasets from multiple sources...