Location: Hybrid, 3 days on-site and 2 days remote, subject to change
Language: English, strong written and verbal communication skills required
Rates: $60-75/T4 or $75-100/INC
About the Opportunity
This is an exciting opportunity to play a key role within a Data Platform team that designs and delivers secure, scalable, and high-performing data and cloud infrastructure solutions. You will support platforms that enable advanced analytics, reporting, and enterprise-wide data capabilities across a complex and evolving ecosystem.
Working within a large, enterprise environment, you will collaborate closely with engineering, vendors, and business stakeholders to ensure data initiatives are delivered with a governance-first mindset. Your work will directly support reliable decision-making, operational excellence, and the long-term evolution of foundational data technologies.
What’s In It for You
You will join a collaborative, forward-thinking environment that values accountability, transparency, and continuous improvement. This role offers meaningful exposure to modern cloud and data technologies, along with the opportunity to influence delivery practices at scale. Expect a culture that supports learning, thoughtful decision-making, and strong cross-functional partnerships.
Your Responsibilities
You’ll proactively identify, assess, and mitigate delivery and operational risks to support successful project and portfolio outcomes.
In this role, you’ll oversee vendor relationships, ensuring external partners align with delivery timelines, quality expectations, and objectives.
You’ll engage stakeholders across business and technology teams to understand data needs and maintain alignment with organizational goals.
You’ll prepare materials for and participate in governance forums and select steering committees.
You’ll partner with engineering leads to support sprint planning, release management, and execution.
You’ll own and prioritize the product backlog, balancing business value, technical feasibility, security, and compliance.
You’ll define clear user stories and acceptance criteria while monitoring KPIs related to performance, reliability, cost, and adoption.
Skills and Qualifications
7+ years of experience in data platform delivery, product ownership, or technology-focused portfolio management
Strong knowledge of cloud and data ecosystems such as Azure, Databricks, Github, Data Warehouses, ETL, Data Pipelines, Advanced Analytics, Reporting, and Data Analytics and Visualization.
Proven experience managing delivery risk, governance, and vendor relationships
Ability to translate business needs into actionable technical priorities
Excellent stakeholder communication and facilitation skills
Comfort making informed trade-off and prioritization decisions in fast-paced environments
Why Partner with Altis
If you’ve never worked with a staffing agency before, we make it easy. We work with top employers across Canada who have great jobs to fill, each vetted and verified by our team. When you apply for a job with Altis, we get to know you as a candidate and learn what your strengths are. Then, if you’re a solid match, we handle all the logistics, advocating for you as a candidate for the role, providing access to coaching and connecting you directly with the hiring manager. And rest assured, all our services are free of cost for candidates.
We appreciate the time and effort all applicants invest in their submissions. Please note that only candidates shortlisted for this role will be contacted directly. However, your profile will remain under consideration for future opportunities that align with your experience and career goals. All qualified applicants will receive fair consideration for employment. We welcome individuals of all backgrounds, experiences, and identities including those who identify as women, members of racialized groups, Indigenous Peoples, persons with disabilities, and 2SLGBTQIA+ communities. If you require an accommodation, please review our
accessibility policy and reach out to our accessibility officer with any questions. Our human recruiters review all applications and always make the final hiring decision. On occasion, we also use AI-assisted tools to help review applications.