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Enterprise Data Administrator

North York
Job Order: SE-6960

Job Description:

The role of the Enterprise Data Administrator is to expand the company's use of data as a strategic enabler of corporate goals and objectives. The Enterprise Data Administrator will achieve this through our data management strategy, including data governance methodologies, master data management plan, meta data management plan, and data quality initiatives. This individual will act as the primary advocate of data modeling methodologies and data processing best practices.

Job Responsibilities:

  • Strategy & Planning
    •  Develop and deliver long-term strategic goals for data management strategy.  
    •  Create short-term tactical solutions to achieve long-term objectives for the overall data management roadmap.
    • Establish processes for governing the identification, collection, storage, sharing and use of corporate metadata; take steps to assure metadata accuracy and validity.
    • Establish methods and procedures for tracking data quality, completeness, redundancy, and improvement.
    • Conduct data capacity planning, life cycle, duration, usage requirements, feasibility studies, and other tasks.
    • Create strategies and plans for data security, privacy, backup, migration, disaster recovery, business continuity, and archiving.
    • Ensure that data strategies and architectures are in regulatory compliance.
    • Create data modeling strategy to ensure a consistent and global design in Data Warehouse and any Web developments. 
  • Acquisition & Deployment
    • Liaise with vendors and service providers to select the products or services that best meet company goals.
  • Operational Management
    • Assess and determine governance, stewardship, and frameworks for managing data across the organization.
    • Develop and promote data management methodologies and standards.
    • Select and implement the appropriate tools, software, applications, and systems to support data technology goals.
    • Oversee the mapping of data sources, data movement, interfaces, and analytics, with the goal of ensuring data quality.
    • Collaborate with project managers and business unit leaders for all projects involving enterprise data.
    • Address data-related problems in regards to systems integration, compatibility, and multiple-platform integration. 
    • Act as a leader and advocate of data management, including coaching, training, and career development to staff.
    • Develop and implement key components as needed to create testing criteria in order to guarantee the fidelity and performance of data architecture.
    • Document the data management environment in order to maintain a current and accurate view of the larger data picture.
    • Identify and develop opportunities for data reuse, migration, or retirement.

Job Requirements:

  • College diploma or university degree in computer science, information systems, or computer engineering.
  • Oracle DBA certification is an asset.
  • 3-5 years of work experience as a data or information architect.
  • 5 years of Oracle operations experience is a must. 
  • 3-5 years of ETL experience is a must. 
  • Hands-on experience on Master Data Management projects developing End-to-End MDM solutions is a must. 
  • Hands-on experience of Data Warehousing (End-to-End) including BI solutions is a great asset. 
  • Hands-on experience with data architecting, data mining, large-scale data modeling, and business requirements gathering/analysis.
  • Direct experience in implementing enterprise data management processes, procedures, and decision support.
  • Strong understanding of relational data structures, theories, principles, and practices. 
  • Strong familiarity with metadata management and associated processes.
  • Hands-on knowledge of enterprise repository tools, data modeling tools, data mapping tools, and data profiling tools.
  • Demonstrated expertise with repository creation, and data and information system life cycle methodologies.
  • Experience with business requirements analysis, entity relationship planning, database design, reporting structures, and so on.
  • Ability to manage data and metadata migration.
  • Excellent client/user interaction skills to determine requirements.
  • Working technical knowledge of current standards and methodologies, including Waterfall, Agile, DAMA-DMBOK, Devops, etc. 
  • Experience with data processing flowcharting techniques.


DATE POSTED 2017-10-23

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