Location: Hybrid, 3 days on-site, 2 days remote (subject to change)
Language: English, required for both written and spoken communication
Duration: 6-month Contract opportunity - renewable
Background Check Requirement: Criminal Check, Reference Check
Pay rates: $65-75/HR

About the Opportunity

Altis is partnering with a large, enterprise organization to recruit a Senior Data Analytical Specialist or Scientist to join a high-impact Data Platform team. This role plays a critical part in enabling trusted, scalable data solutions that support enterprise decision-making and advanced analytics across the organization.

You’ll work alongside data engineers, architects, analysts, and business stakeholders to ensure data is accurately mapped, validated, and documented as it moves across complex platforms. Your expertise will help bridge business requirements and technical execution, ensuring data quality, integrity, and confidence at scale.

What’s in it for You

This role offers the opportunity to work within a modern data ecosystem leveraging Azure, Databricks, and cloud-native technologies. You’ll contribute to foundational data initiatives while collaborating with cross-functional teams that value clarity, structure, and well-documented solutions. The environment supports thoughtful problem-solving, continuous improvement, and meaningful collaboration.

Your Responsibilities

• You’ll lead detailed data mapping activities between source systems, data platforms, and target destinations.
• You’ll document field-level mappings, transformation logic, lineage, and business rules in a clear, version-controlled manner.
• You’ll analyze and profile datasets to identify data quality issues, gaps, risks, and inconsistencies.
• You’ll collaborate closely with engineers, architects, and business partners to translate business definitions into technical documentation.
• You’ll support data validation and reconciliation efforts during migrations and integrations.
• You’ll contribute to dashboards, reports, and analytics to support business insights and decision-making.
• You’ll facilitate workshops to align stakeholders on data definitions and mapping decisions.

Skills and Qualifications

• 8+ years of experience in data mapping, documentation, and data quality initiatives.
• 8+ years of experience working with Microsoft Azure-based data platforms.
• Strong proficiency in SQL, data profiling, and validation techniques.
• Experience with data visualization tools such as Power BI.
• Solid understanding of relational databases, ETL processes, and data integration patterns.
• Strong communication skills with the ability to engage both technical and non-technical stakeholders.
• Bachelor’s degree in Data Science, Computer Science, Business Analytics, or a related field.

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.