Cloud Data Specialist

3 weeks ago


Edmonton, Canada Government of Alberta Full time

**Job Information**

Job Requisition ID: 53495
Ministry: Advanced Education
Location: Edmonton
Full or Part-Time: Full Time
Hours of Work: 36.25 hours per week
Permanent/Temporary: Ongoing
Scope: Open Competition
Closing Date: February 26, 2024
Classification: Systems Analyst 3

**Salary**: $3106.31-$4114.41 Biweekly $81,074-$107,386/year)

Advanced Education’s Data Management and Governance (DMG) unit aims to improve the ministry’s data maturity, as follows:

- Develop, implement, and evolve and enterprise-wide data management and governance.
- Develop, implement, and evolve stewardship of the Department's major administrative datasets.
- Collect and provide oversight of key administrative data from the advanced learning system.

**Role Responsibilities**:
**If you are a cloud data specialist who enjoys working with a small business team, and you want to make a difference, this job might be for you**

Reporting to the Manager - Data Operations, the Cloud Data specialist builds enterprise-wide data infrastructure to enable Department digital services and business intelligence. This includes developing and optimizing pipelines, data warehouse and orchestration platforms, and cloud storage to reliably move data from multiple source systems, assessing existing infrastructure, and developing a roadmap for infrastructure improvement.
- The Cloud Data Specialist also works with colleagues and management to improve Advanced Education's data management capacity and maturity by teaching skills, establishing processes and standards, and advising on best practices.
- The Cloud Data Specialist possesses a combination of skills, from technical acumen to well-developed leadership and communication skills. This skill combination is essential for an emerging area of maturity in Advanced Education. The Cloud Data Specialist retains an open-minded, collaborative, and listening attitude to help lead this area of change.
- **These are your goals**:
**Cloud Data infrastructure is developed to meet AE's operational and analytic needs.**
- Identify and document requirements for new data infrastructure, working with data scientists, data modellers, and business users to ensure outcomes are clear and shared.
- Build data pipelines from one or more sources to cloud storage and data warehouse in a customized way, including orchestration, masking, testing, reviewing, troubleshooting, scheduling, and documenting.
- Organize structured and unstructured data into analyst-friendly tables in the centralized data cloud.
- Develop messaging and alerting systems so that failure and error reporting happen in an automated, trusted way.
- Maintain the tooling libraries that enable automation and quality of the data warehouse: custom operators and scripts for orchestration, continuous integration and deployment, code deployment process, and linting.
- Enable analysts and modellers to work effectively by supporting the tools they use, including Data Build Tools (DBT) for data transformations inside the centralized data cloud.

**Role Responsibilities Continued**:
**Data modelling and data reporting functions are backed up.**
- Cross train with data modelling and reporting colleagues to ensure business continuity.
- Draft, test, and review data model scripts.
- Help develop and maintain data model documentation including standards.
- Draft and review reports, visualizations, and dashboards.
- Help develop and maintain reporting and visualization documentation including standards.

**AE improves data operations capacity and data management maturity.**
- Support unit staff to develop data infrastructure building skills including teaching the basics, guiding junior staff through complex cases, and validating that pipelines work as intended.
- Support unit and department colleagues to read and understand data infrastructure documentation.
- Support the Manager and Director to develop and hire to additional data infrastructure positions as needed.
- Help to develop and socialize with colleagues and stakeholders an evolving data management framework and ongoing data operations functions, roles, and systems.
- Support the Manager and Director to prepare briefings and presentations about data management and governance.

**Best practices guide infrastructure development and planning.**
- Work with the Manager, Data Operations to establish AE's data infrastructure building standards, developing documentation and processes to support junior and future data infrastructure staff in the unit.
- Identify and prioritize building and maintenance work, taking in to account department business priorities, technical dependencies, and unit coordination and capacity.
- Develop and maintain a roadmap for development and improvement of infrastructure and standards.
- Build a library of data infrastructure documentation and resources for unit and Department staff.

**APS Competencies**:
Competencies are behaviors that are essential to reach our goals in serving Albert



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