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Experience in stream / data processing technologies like Kafka, Spark, Google BigQuery, Google Dataflow, HBaseFamiliarity designing CI/CD pipelines with Jenkins, Github Actions, or similar toolsExperience with SQL, particularly performance optimizationExperience with Graph and Vector database or processing frameworksStrong knowledge of data modeling, data warehousing, and data integration best practices.
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The Principal Cloud Security Architect will direct and guide other technology teams within Crown Castle for all matters related to cloud security strategy and implementation, including Security Tools within Cloud ecosystems (Azure and AWS), Network IPS/IDS, Identity and Access Management (IAM), User Entity and Behavior Analysis (UEBA), Zero Trust, DevSecOps, Security Access and Service Edge (SASE) and Security Frameworks and Methodologies, and Threat Modeling.
$150,000 - $180,000 a yearFull-timeExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Experience in data architecture, data governance, data modeling, data transformation (from converting data, to data cleansing, to building data structures) data lineage, data Integration, and master data management.
$100 - $125 an hourFull-timeExpandApply NowActive JobUpdated 2 months ago - UpvoteDownvoteShare Job
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Should have in depth understanding on Data Warehousing, Master Data Management (MDM), Data Quality, Data Lineage, Data Modeling, Data Profiling and Data Policy and handled Data Governance programs.
Full-timeExpandApply NowActive JobUpdated 5 days ago - UpvoteDownvoteShare Job
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Subject matter expertise on data governance, data information modeling, and data aggregation controls. The Senior Data Management Analyst will support multiple initiatives, including data defect management policy implementation and data defects management, Corporate Risk Data Management & Governance organization within Corporate Risk Strategy & Planning Governance.
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Minimum of five (5) years of experience in data governance practices to include supporting business and technology issues related to management of enterprise information assets; experience and approaches related to data protection, risk-mitigated data architecture, and industry-leading technology solutions.
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New York City (Hybrid On-Site): $233,100 - $266,000 for Director, Ontology and Data Modeling. You are also able to coach others and be a mentor in Ontology and Data Modeling.
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Establish best practices and standards for data management, data integration, data warehousing, business intelligence, analytics and data governance. Extensive expertise in Data Science, Data Engineering, data modeling, both logical and physical.
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Position Summary Enterprise Data & Analytics leads campus-wide enterprise data and analytics including data governance, architecture, data and application integration, database administration, and business intelligence such as reporting and analytics.
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Experience with governance, controls, process and procedures, conceptual data modeling, master data management, data standardization and stewardship, information integrity and compliance, and data quality management.
RemoteExpandApply NowActive JobUpdated 6 days ago - UpvoteDownvoteShare Job
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Familiarity with Data Modeling, Architecture, Integration, Governance, Metadata, Master/Reference Data Management. Business Intelligence Development: Support the development and implementation of business intelligence capabilities, including data visualization, dashboards, and reporting solutions.
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As the Director, Data Product Strategy & Governance at Capital One, you will lead the portfolio of Data Products and Data Strategy that are fueling our business. The Data Product Strategy & Governance director reports into our Chief Data Organization and is responsible for driving an integrated data strategy that meets the diverse needs of Capital One. In this role, you'll work collaboratively with data owners across the business to develop, scope and launch Data Products in support of enterprise initiatives.
ExpandApply NowActive JobUpdated 4 days ago - UpvoteDownvoteShare Job
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Familiarity with data governance, master data management, metadata management, and related processes. He/she should have prior knowledge of data integration, data warehousing, modeling, business intelligence, and data visualization / presentation concepts.
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Enterprise Data Management: Proficiency in data management strategies including data governance, data quality, and master data management. As a Senior Data Architect specializing in Data Discovery, Data Mapping, Data Modeling, Data Quality, Enterprise Information Model adoption, different types of Database Storage Systems involving relational, NoSQL, azure cloud data solutions, and Big Data Analytical Platforms, you will play a pivotal role in designing, implementing, and optimizing our data architecture artifacts to support advanced data initiatives.
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Required 5 years - Experience with databases, data lakes, data modeling and data analytics with products such as PostgreSQL, Snowflake, Elasticsearch, Elk, and/or Qlik. Required 5 years - Broad, domain level architectural understanding of: •Modern Application Architecture •Cloud Computing •DevSecOps •IT Infrastructure •Network •IT Governance •IT Security.
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