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Understanding of data governance practices and data quality management principles. Title: Sr Data Architect/Data Modeler. Proficiency in Snowflake data cloud and SQL experience with Oracle, SQL Server.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Data Governance: Establish and enforce data governance policies and procedures to ensure data quality, compliance, and data lineage. Ensure data quality, consistency, and integrity throughout the integration process.
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The Principal Solution Architect will contribute to the Enterprise Data & Analytics Strategy and Roadmap and will develop innovative, cost-effective approaches to solve business problems through the use of technology and best practices.
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As an Enterprise Data Solution Architect, you will have a direct impact on the day-to-day life of data solutions, delivery, and affect the Safety of California. The Principal Solutions Architect will report to the Senior Manager of Data Solutions Architecture in the Data Analytics & Insights department of Information Technology.
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Experience with any of the following: Data Architecture, Elastic Search, DBT, Airflow, Palantir Foundry, Data Quality. Job Title: Principal Data Solutions Architect. tools, Collibra, MDM, Informatica, Spark, Snowflake, Teradata, SAP Business Warehouse, Business Objects Suite, Tableau, SAS Enterprise Miner, and other database and BI technologies, open-source Hadoop, and related technologies, data access languages such as SQL, SAS, R, Python, Scala, etc.
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Implement data quality checks, validation rules, and metadata management processes to ensure the accuracy, completeness, and consistency of data. Implement data governance policies and standards to ensure the quality, integrity, and security of data assets, and ensure compliance with regulatory requirements.
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Experience with analytics and data management principles such as: data acquisition and modelling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, "big data" techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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Experience with analytics and data management principles such as: data acquisition and modeling, data warehousing, business intelligence, metadata management, master data management, advanced analytics and data science, "big data techniques, public/hybrid/private cloud data management and analytics services data security, and data and analytics governance.
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Our services span data governance, data quality strategies, data management architecture, master data management strategy and implementation, analytics and big data.
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Data Analysis and Predictive Modeling: Perform statistical data analysis. Utilize data insights for capacity planning, demand forecasting, and identifying performance bottlenecks.
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Berufsintegrierter Master – Data Architect bei Zeiss (m/w/d) In den vier Sparten Semiconductor Manufacturing Technology, Industrial Quality & Research, Medical Technology und Consumer Markets erwirtschaftete die ZEISS Gruppe zuletzt einen Jahresumsatz von 6,3 Milliarden Euro.
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Data quality reporting and cleansing implementation experience. Knowledge of SAP Landscape Transformation (SLT), Smart Data Integration (SDI) or Smart Data Access (SDA) Experience with SAP Data Architecture, SAP MDG/MDM, and S4 HANA.
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Or more years of relevant work experience in Information Technology, Data Management, Business Intelligence, and Analytics. Understand and document the business capabilities needed to deliver on the mission of the Data & Information Architecture Team. Ensure that IT and business stakeholders understand and adhere to architectural guidance, standards, policies, and practices for your domains.
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