Senior Data Specialist to design and implement data integration and cloud-based data platform strategy

Our Client is seeking a Senior Data Specialist to design and implement data integration and cloud-based data platform strategy.

This role requires 5 days a week onsite in Edmonton

• 7+ years of experience in data architecture, data engineering, or enterprise IT roles with a strong focus on cloud-based platforms and integration.
• Experience with the following combination of tools:
• MuleSoft for API-led and event-driven integration
• Tableau for enterprise reporting and visualization
• Data lake platforms such as Snowflake and Databricks for scalable cloud-based analytics
• Experience with data modeling across relational, dimensional, and NoSQL paradigms
• Experience with architectural frameworks (e.g. TOGAF or Zachman) data governance, privacy, and security frameworks (e.g. NIST, ISO)
• Experience with data governance tools such as Unity, Collibra, or Ataccama.

Key Responsibilities

• Define and evolve the enterprise data architecture strategy to ensure it delivers real business value-supporting operational agility, analytics growth, and long-term scalability.
• Provide architectural leadership and hands-on technical oversight across cloud-based data platforms, including MuleSoft, Snowflake, Databricks, and Tableau.
• Guide the design and implementation of data pipelines and access layers that enable timely, reliable insights for both day-to-day operations and strategic decision-making.
• Establish practical standards for data modeling, metadata, classification, and lineage that strike a balance between governance and usability.
• Lead the development of reusable, API-led and event-driven integration patterns using MuleSoft to enable fast, secure data exchange across systems.
• Champion simplification and reusability across platforms and development efforts, enabling faster delivery, lower costs, and easier support.
• Ensure managed service providers operate and support the platforms effectively, with a strong focus on performance, uptime, and continuous improvement.
• Validate and refine architectural solutions to ensure they not only meet security, and compliance needs but also align with business timelines and delivery expectations.
• Maintain living architecture documentation and reusable patterns that support onboarding, knowledge sharing, and continuous optimization.
• Collaborate on technology evaluations and vendor decisions, focusing on long-term maintainability, interoperability, and value creation.
• Collaborate with delivery teams and external partners to ensure data solutions are fit for purpose, adaptable, and aligned with evolving business needs and priorities.
• Balance speed and sustainability-helping teams deliver value quickly while maintaining architectural integrity and platform health.