Specialized IT Consultant
Apply NowCompany: Cynet Systems
Location: Toronto, ON M4E 3Y1
Description:
Job Description:
Responsibilities:
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.
- 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.
- 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.
- 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.
- 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.
- 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.
- 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.