Data Platform Architect (Tableau, Databricks,Mulesoft)

Data Platform Architect (Tableau, Databricks, MuleSoft)

Job# FT30428

Location: Edmonton, AB

Job Type: Contract

Salary: Negotiable

Contact: swilson@finney-taylor.com

Status: ACTIVE

Date Posted: April 09, 2025

Submission Deadline: April 14, 2025

Job Stream

Benefits: 12 month contract with possibility of extension.

Job Description: Our client in Edmonton, AB is looking for a Data Architect (Tableau, Databricks, MuleSoft).

Must Have Primary Skills:

1. Experience working with cloud infrastructure and services, preferably AWS.
2. Proficient in data modeling across relational, dimensional, and NoSQL paradigms, with knowledge of architectural frameworks such as TOGAF or Zachman.
3. Define and evolve the enterprise data architecture strategy to ensure it delivers real business value—supporting operational agility, analytics growth, and long-term scalability.
4. Demonstrated ability to oversee external service providers, enforce standards, and ensure effective operation and support of data platforms.
5. Strong communication, documentation, and collaboration skills with the ability to align technical delivery to business priorities.
6. Experience in regulated industries—particularly airport, transportation, or infrastructure sectors—is considered a strong asset.
7. 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.
8. Establish practical standards for data modeling, metadata, classification, and lineage that strike a balance between governance and usability.
9. Lead the development of reusable, API-led and event-driven integration patterns using MuleSoft to enable fast, secure data exchange across systems.
10. Champion simplification and reusability across platforms and development efforts, enabling faster delivery, lower costs, and easier support.
11. Validate and refine architectural solutions to ensure they not only meet security and compliance needs but also align with business timelines and delivery expectations.
12. Balance speed and sustainability—helping teams deliver value quickly while maintaining architectural integrity and platform health.

Nice To Have Secondary Skills:

• Collaborate with delivery teams and external partners to ensure data solutions are fit for purpose, adaptable, and aligned with evolving business needs and priorities.

Proven Experience In:

• Minimum of 7 years of progressive experience in data architecture, data engineering, or enterprise IT roles with a strong focus on cloud-based platforms and integration.
• Proven experience in designing and delivering enterprise-scale data integration and analytics solutions.
• Strong preference for candidates with extensive hands-on experience in 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.