Ensure that all relevant project teams follow a common set of data principles and patterns, utilize a standard set of technology frameworks, and apply data architecture best practices that help increase quality and agility.

  • Perform geospatial data processing/ETL and publishing.
  • Enable/integrate monitoring, auditing, and alert systems for databases with existing monitoring infrastructure.
  • Ensure you create; lead the data design of solutions for large projects and programs; through expert knowledge, translating high level business requirements into data models and appropriate Metadata, test data, and data standards.
  • Be accountable for outstanding communication, project and priority management, and collaboration skills.
  • Install and maintain database for multi tier architecture.
  • Determine overall data modeling standards, guidelines, best practices and approved modeling techniques.
  • Ensure you standardize; lead the data design of solutions for large projects and programs, through expert knowledge, translating high level business requirements into data models and appropriate Metadata, test data, and data standards.
  • Be certain that your enterprise deploys and provides ongoing support of cloud storage and back up.
  • Provide thought leadership across the data community to ensure solutions are built in alignment with platform principles, design patterns, and standards.
  • Ensure all relevant project teams follow a common set of data principles and patterns, utilize a standard set of technology frameworks, and apply data architecture best practices that helps increase quality and agility.
  • Ensure you reconcile; lead and drive the design of conceptual, logical, and physical data models to support transactional and analytical systems.
  • Interpret and classify data types to retention policies.
  • Ensure you research; enhanced analytical and problem solving skills.
  • Attract, recruit, and retain capable individuals to build high performance teams of data architects; establish mission and purpose for individuals and teams.
  • Confirm your enterprise develops, implements, and oversees policies and procedures to ensure consistent cloud environment provisioning, uptime, regulatory compliance and data protection.
  • Drive the design of conceptual, logical, and physical data models to support transactional and analytical systems.
  • Troubleshoot versioning, multi user editing, and distributed data workflows.
  • Make sure that your strategy provides leadership for the development of operational and strategic direction for the implementation and maintenance processes for cloud solutions.
  • Develop data architectures that are inherently secure, robust, resilient, scalable, and enable API centric and microservices ecosystem.

 

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