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Top Remote Data Management Jobs in Houston, TX
Edtech • Information Technology • Software
Lead company-wide data governance and standards, enforce data contracts and schema/version control, manage PII/RBAC and master data, establish data-quality metrics and monitoring, grow and run the governance team, remain hands-on with data profiling and SQL, and use AI to accelerate governance work and modeling.
Top Skills:
Ai ToolsDbtSalesforceSnowflakeSQLWorkdayZuora
Reposted 21 Hours AgoSaved
Agency • Information Technology
Design, develop, maintain, and optimize enterprise Tableau dashboards and BI solutions. Integrate and cleanse data from Oracle/Sybase/Big Data, tune SQL, automate Tableau extracts, manage Tableau Server on Linux, support testing, UAT, deployments, and troubleshoot data integrity and performance issues.
Top Skills:
Big DataLinuxOracleSQLSybaseTableau ApisTableau DesktopTableau PrepTableau Server
Information Technology • Database • Consulting
Lead end-to-end delivery of large analytics and data management programs, manage multi-workstream teams, enforce governance and best practices, liaise with senior client stakeholders, mentor global teams, and drive account growth through opportunity mining and solution shaping across cloud data platforms and modern data-stack initiatives.
Top Skills:
Api ManagementAWSAws RedshiftAzureAzure DevopsCi/CdConsent PlatformsData Clean Room SolutionsData LineageData ObservabilityDatabricksDataopsDq FrameworksGCPIncident ManagementJIRAPythonSlo/Sla GovernanceSnowflakeSQL
Software
Architect and deploy scalable Inventa data-management solutions, lead complex enterprise integrations (APIs, on-prem, cloud, SaaS, data lakes), resolve architectural performance and access issues, create global architecture guides and documentation, and feed product improvements through field insights. Customer-facing, cross-functional collaboration with Sales, Customer Success, and Product.
Top Skills:
APIsCloud StorageContainer OrchestrationData LakesFile ServersHelmInventaKubernetesOn-Premises DatabasesPowershellPythonRegexSaaS
Hardware
The Director of Master Data Management leads data governance and strategy, ensuring data integrity and consistency across business operations, while managing a cross-functional team.
Top Skills:
Artificial IntelligenceData GovernanceMachine LearningMaster Data Management
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
Support design and delivery of operational, analytical, and AI-ready data products across the full lifecycle: discovery, requirements, semantic modeling, data mapping, testing, deployment, governance, data quality, documentation, and adoption. Work with stakeholders, engineers, governance and AI teams to ensure reusable, trusted datasets and semantic layers; assist UAT, lineage, metadata, and change management, and use AI-assisted tools to accelerate analysis and product design.
Top Skills:
Aws AthenaAws GlueAws RedshiftAws S3Aws SagemakerExcelNoSQLPower BIPythonSQLTableau
12 Days AgoSaved
Artificial Intelligence • Machine Learning • Natural Language Processing • Software
Lead integration of technology into information systems, design data warehouse and BI capabilities, define data architecture and dictionaries, centralize disparate data, design dashboards, document system architecture, perform data quality and management, and provide solution engineering, pilots, and enablement for analytics and resource management.
Top Skills:
Agile ToolingAWSBackup & RestoreBusiness IntelligenceDashboardingData WarehouseDatabase ManagementErwinETLFirewallsIt Asset ManagementIt Performance And CapacityLinuxAzureMicrosoft PowerpointMicrosoft VisioNetwork DesignNetwork SecurityOffice 365ProtocolsPythonRSQLSsis
Digital Media • Fintech • Information Technology • Machine Learning • Financial Services • Cybersecurity • Automation
Senior individual contributor responsible for designing and aligning data solutions for commercial profitability and enterprise platforms. Translate business outcomes into scalable technical designs, guide development teams on best practices, ensure alignment with enterprise architecture and governance, standardize data models, and collaborate with product, finance, and technology stakeholders to deliver accurate, performant, and reusable data assets.
Top Skills:
Data Query LanguagesSQL
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