Specialized IT Consultant

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Company: Cynet Systems

Location: Toronto, ON M4E 3Y1

Description:

Job Description:

Responsibilities:
  • Support & assist lead data stewards, data owners and data stewards from the Spokes/Divisions to define & manage the business glossaries, assets & metadata in Purview.
  • Support the administration & operation of Purview including managing the collections, asset scans, workflows, data lineages, classifications, etc.
  • ssist onboarding/refreshing data to MDIS Platforms & maintain an inventory of sources and target locations for the data brought into MDIS Platform.
  • Monitor the operation of Purview to ensure safe & proper custody, transport, and storage of data assets and metadata with support from the Operations team.
  • Support & assist data architects, data modelers, data science developers or DBAs from the data delivery teams to develop data pipelines & analytical data models to meet Business needs.
  • Provide administration support to coordinate user access, backup and recovery activities & schedules on MDIS Platform.
  • Monitor the MDIS Platforms on data availability, data storage and data security per data governance/security rules.
Specific Deliverables:
  • Data governance policies and procedures document.
  • Data classification framework and custom classifications.
  • Data asset inventory.
  • Data sensitivity identification process.
  • Data access and authorization framework.
  • Data quality management plan.
  • Data incident response and management plan.
  • Data privacy compliance plan.
  • Data backup and restore plan.
  • Data Client and Quality assessment tool recommendations.
  • Data custodian training materials.
  • Data retention schedule documentation.
  • Data sharing and exchange agreements.
  • Data incident log and audit trail.
  • Data custodian monitoring and enforcement plan.
  • MDIS Service Level Agreements.
Skill Set / Experience Required:
  • Experience providing program coordination support for a large, diverse program with an established data services framework.
  • Experience with identification of risk events and issues before they occur so that proper mitigation strategies can be developed.
  • Experience with coordinating and contributing to reporting and briefing materials.
  • Experience with creation of diagrams to visualize and specify requirements and/or concepts.
  • Experience with advising on business analysis policies, processes, best practices, and standards.
  • Excellent analytical, problem-solving, and decision-making skills.
  • Strong interpersonal skills capable of maintaining strong relationships.
  • Strong presentation, verbal, and written communication skills.
  • Solid organization and multitasking skills.
  • bility to pay attention to detail and think ahead.
  • team player with a track record for meeting deadlines and delivering high-profile, complex initiatives.
  • Experience in the use of collaboration management tools.
  • Understanding of Agile Methodology and frameworks.
  • Experienced user of MS Office toolset including Microsoft Teams.
  • Knowledge of OPS I&IT standards and best practices.
  • Knowledge of Project management best practices.
Data Management Skills (40%):
  • Demonstrated ability to manage and maintain large amounts of complex data.
  • Experience with data governance, security, and retention policies.
  • Knowledge of data quality, profiling, and cleansing techniques.
  • Familiarity with industry tools and technologies for data cataloging, in particular Azure Purview.
Technical Proficiency (35%):
  • Experience with Data Modelling.
  • Experience with Data Warehouse and Data Lake technology and Azure Analysis Services.
  • Strong understanding of data architecture and related technologies (e.g. Synapse, Data bricks, Azure Data Factory, CI/CD Pipelines, and DevOps).
  • Proficiency in programming languages typically used in data management (e.g. SQL, Python, R, Stored Procedures, Logic Apps, Power Apps).
  • Experience with Azure cloud-based data management solutions.
Communication and Collaboration (15%):
  • bility to work collaboratively with various stakeholders, including data users and other IT professionals.
  • Strong written and verbal communication skills.
  • Experience in presenting complex technical information to a non-technical audience.
Regulatory Compliance (10%):
  • Knowledge of industry standards and regulations regarding data privacy and security.
  • Familiarity with best practices for data security.
  • bility to effectively apply regulatory requirements to ensure compliance.

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