Data Lake Delivery Lead Job Toronto area,Old Toronto Ontario Canada,IT/Tech

Location: Old Toronto

We are currently requesting resumes for the following position:
Data Lake Delivery Lead

Resume Due Date:
Wednesday, October 9th, 2024 (5:00PM EST)

Job : 24-120

Number of Vacancies: 1

Level:
Senior

Duration: 3 months

Hours of work: 35

Location:
Toronto Corporate Headquarters

Job Overview

Lead and manage multiple projects simultaneously, ensuring timely completion, quality and budget adherence.

Guide, create, and coach the Data Engineering Scrum Team on Agile practices and principles to deliver high quality data products.

Facilitate all Scrum events, including sprint planning, daily stand-ups, backlog grooming, sprint review and retrospectives.

Identify, assess, and mitigate risks, ensuring proactive management and resolution of issues.

Ensure projects meet our client’s quality standards, compliance requirements, and regulatory expectations.

Manage project budgets, forecasts, and financial reports, ensuring accurate tracking and reporting.

Develop and implement effective communication plans, ensuring stakeholders are informed and engaged throughout the project lifecycle.

Identify, analyze, and resolve project and support issues, ensuring minimal impact on project timelines and budgets.

Continuously improve project delivery processes, identifying opportunities for efficiency gains and best practices adoption.

Work closely with the Senior Manager, Data Lake Platform Engineering to set priorities and assign sprint tasks to the appropriate team members.

Facilitate project and scrum meetings by bringing the relevant resources together on critical issues and delivery discussions.

Qualifications

EDUCATION

Completion of a four-year University education in computer science, computer/software engineering or another relevant program.

EXPERIENCE

Experience with managing multiple projects and priorities.
Strong communication, facilitation and negotiation skills.
Experience with managing agile sprints for development teams.
Knowledge of change management and risk management related to data lake/data warehouse projects.
In-depth knowledge of Agile frameworks or methods such as Scrum and Kanban.
Solid understanding of traditional project management principles and practices.
A good understanding of data pipeline design pattern to ingest data into a data warehouse.
A good understanding of various database and storage technologies and their use cases.
A good understanding of data governance and data quality initiatives.
A good understanding of data integration and data warehousing technologies.
Excellent communication and collaboration skills.

Our client is dedicated to promoting employment equity and encourages applications from equity-seeking communities including but not limited to:
Indigenous Peoples, racialized individuals, persons with disabilities, and women. Our client aims to build a diverse team that reflects the communities it serves, enhancing its ability to meet their needs. We are committed to an inclusive and accessible work environment and invites all qualified individuals to apply, offering accommodations during the application, interview and onboarding process as needed. This effort supports our client’s long-term strategy for equity, diversity, and inclusion.

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