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As part of the team, you’ll focus on the architecture of data centres, including the design and implementation of network architecture and information storage to optimise innovation and programme delivery for our clients.
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Designing and developing large scale data solutions using GCP services like DataProc, Dataflow, Cloud Bigtable, BigQuery, Cloud SQL, Pub/Sub, Cloud Data Fusion, Cloud Composer, Cloud Functions, Cloud storage, Compute Engine, Looker and Cloud IAM.
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Google Certified Cloud Architect, Google Certified Data Engineer, AWS Certified Solutions Architect, Azure Solutions Architect. Leveraging experience in database management, migration, and transformation to cloud native DBs like Cloud SQL, Spanner, AWS Aurora, AWS RDS, etc.
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A career in our Cloud and Network Architecture practice, within Cloud Computing and Networking services, will provide you with the opportunity to focus on the joint business relationship between PwC and Google, HP, Microsoft, Oracle, SAP, and other cloud based platforms that bring new and innovative services to some of the largest companies.
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Strong knowledge and understanding of data strategy, data integration design, data migration and data architecture. Strong understanding of database design concepts, data migration and data integration.
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Work closely with the Enterprise Architecture (EA), Database Administrator (DBA), Migration and Application Development teams to develop and implement automated Disaster Recovery capabilities including automated alerting, notifications, containment, data backup & recovery.
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Enterprise Cloud Data Architect ( Data Migration to Azure / Cloud Data Solution Architecture) Participate in the definition of future data management / governance architecture, with alignment to value creation opportunities across the business.
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Experience with Veterans Affairs Corporate Data Warehouse (CDW), VX-130, data migration, and cloud architectures. As a data architect on our XaaS team, you’ll lead our data and analytics architecture strategy and work with our Solution Architects to validate architectural runway and incrementally evolve capabilities in alignment with VA Enterprise Architecture, Agile Standard Operating Framework, and VA Product Line Architecture guidelines.
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Able to design and Architecture in D365 and Power Platform solutions using Model Driven Apps, Dataverse, Cloud Flows, Power BI, Hands-on experience working with multiple data sources including Dataverse (CDS), SQL/Azure SQL, SharePoint, and other connectors.
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Proven work experience as a Data Architect, Data Scientist, Data Migration specialist or similar role. Activities may include data quality engineering, metadata consolidation and integration, metamodel development and maintenance, repository management, data warehouse design and data mining, data security administration, and formulation of enterprise-specific data metrics.
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Experience in Data Migration to Snowflake cloud data warehouse. Understanding of enterprise data management concepts (Data Governance, Data Engineering, Data Science, Data Lake, Data Warehouse, Data Sharing, Data Applications.
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Data Strategy to help organizations identify business objectives, build a strategy, and leverage their data to achieve their goals (BI Roadmap | Master Data Management | Data Governance and Architecture.
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Working on cloud platform and solutions in infrastructure, Applications or Data technologies (GCP, AWS & Azure); Our team helps organisations transform their network architecture and infrastructure to fundamentally change the role of Information Technology from an custodial asset to an orchestrator of business services.
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Good hands-on experience in Snowflake migration projects with good understanding of Snowflake architecture and building pipelines for ingestion. 10+ years of Data Architecture/Data Warehousing experience.
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The Sr. Network Operation Engineer must have rich experience managing enterprise networks, architecture design, implementation, migration, and operation management, which may involve the following technologies: LAN, WAN, Wireless, Network Security, Audio Visual, Voice systems, Server/Storage/Backup systems, etc.
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