Be accountable for designing highly scalable data management systems, and integrating/preparing large, complex data sets that meet functional/non functional mission requirements, data analysis, movement of data, extracting, transforming, and loading operations of big data sets.

More Uses of the Data Architecture Toolkit:

  • Orchestrate: define a Data Architecture blueprint that utilizes available proven technologies, standards, techniques and systems for efficiently storing, accessing and transforming data produced by bioprocess package units, actors and sensors.
  • Be accountable for driving information architecture decisions for Commercial digital capabilities in alignment with enterprise information and Data Architecture principles.
  • Confirm your organization ensures best practices delivery of the overall and strategic design, development, testing and implementation of organization information solutions by supporting Data Architecture and integration efforts related to defining, developing, and delivering capabilities.
  • Confirm your organization ensures common data model design and maintenance, data distribution, consolidation, and integration compliance and data engineering and data engineering best practices.
  • Perform technical skills related to architecture and infrastructure capabilities as integration architecture, Data Architecture, data warehousing infrastructure and data delivery infrastructure.
  • Utilize a variety of tools (scripting languages) to pull data from different source systems critical for data ingestion, refactoring, and optimization of existing data models, to meet functional and performance needs.
  • Ensure you lead efforts to define subscription quote/order, subscription management, invoice and integrations with interdependent systems and products process, system functional and Data Architecture.
  • Oversee: partner with the data science team to standardize classification of unstructured data into standard structures for data discovery and action by business customers and stakeholders.
  • Transform detailed requirements into a complete, detailed systems design document and Design consistent, extensible and integrated data access enterprise components across distinct data sources and platforms.
  • Ensure you lead the creation of new data driven approaches for the purpose of generating business insights through data analytics, information visualization, and addressing unanswered business issues in a proactive manner.
  • Warrant that your organization designs (and defines) the Data engineering best practices to be implemented as a repeatable process for Data ingestion, cleansing, wrangling, and features generation needed for Data science.
  • Ensure you broaden subject matter expertise across cloud computing, infrastructure, IT operations, applications, enterprise architecture, data management, and cloud governance models.
  • Make sure that your organization implements processes and systems to monitor data quality, ensuring production data is always accurate and available for key stakeholders and business processes that depend on it.
  • Assure your organization designs and creates more complex logical/physical data models, and data dictionaries that cater to the specific business and functional requirements of applications.
  • Systematize: customer focus gains insight into customer needs; identifies opportunities that benefit the customer; builds and delivers solutions that meet customer expectations; establishes and maintains effective customer relationships.
  • Collaborate with end users, development staff, and business analysts to ensure that prospective Data Architecture plans maximize the value of client data across your organization.
  • Manage work with application development team to deploy analytics data products through ways as embedding analysis models into business applications and mobile solutions.
  • Ensure you lead the data clean up process and management of data structures, processes and algorithms to support population health risk arrangements and government programs.
  • Ensure your organization creates and maintains accurate, complete and consistent governed conceptual, logical and physical data models with lineage and implementation traceability metadata.
  • Manage work with data strategy consultant for the measurement and analytics team, in conjunction with other members of the team to develop long term strategy for the Data Architecture.
  • Systematize: work closely with data experts to build and maintain kpi data dictionary, metadata, data standards, and ensure adherence to the plans analytics method and data standards.
  • Establish that your organization defines, develop, and delivers consistent information and data standards, methodologies, guidelines, best practice and approved modeling techniques on data/information management, data quality and data governance.
  • Be accountable for creating and maintaining appropriate Data Analytics solution (in collaboration with ETL, Data Architecture, and business requirements) to support Enterprise Data Warehouse and BI capabilities.
  • Interact with various internal and external organizations, program managers, technical development staff, and other organizational system and data architects independently to generate high quality artifacts.

 

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